Sorted by: 1. The Canberra distance between two points u and v is. Now I want to create a mxn matrix such that (i,j) element represents the distance from ith point of mx2 matrix to jth point of nx2 matrix. squareform returns a symmetric matrix where Z (i,j) corresponds to the pairwise distance between observations i and j. I want to use pdist2 to return the indexes of the second smallest values instead of the values themselves. For example the not weighted RBF and sigmoid kernel can be computed as follows: K_rbf = exp (-gamma . calculate_distance. Open CASCADE Technology 是为特定领域快速开发程序而设计的面向对象的C++类库。matlab pdist2,matlab中pdist2函数; windows 10 bash change PS1; linxu中删除指定时间之前的文件shell脚本; react中如何做成 tab 切换的效果; __declspec的英文含义; 从零复现PyTorch版（3） webpack报错:Invalid options object. If you are looking to get 'ChiSquare' distance, please use. I want the minimum distance between X and Y where each coordinate is in a 1-to-1 ratio between X and Y. % accept a matrix ZJ with an arbitrary number of observations. 5 seconds julia 0. 5. You can use the pdist2 MATLAB / Octave function to calculate pairwise distances between two sets of observations. 1. Learn more about TeamsAnswers (2) You can do this with the pdist2 function. Sign in to comment. 可以这样理解 D 的生成：首先生成一个 X 的距离方阵，由于该方阵是对称的，且对角线上的元素为0，所以取此方阵的下三角元素. It is much faster than computing the distances using a nested for loop. . [D,I] = pdist2(X, X, 'squaredeuclidean', 'Smallest', k+1); D = D < threshold; W. My code: function dist = distance (x1, y1, x2, y2) dist = abs ( (x1 - x2) + (y1 - y2)); It seems correct to me but i'd just like to make sure. ), however at the end, it shows an important message. Note that generating C/C++ code requires MATLAB® Coder™. To save memory on the device, you can separate training and prediction by using kmeans and pdist2, respectively. Js Goh on 18 Sep 2015. 9448. . – Nicky Mattsson. Developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and. In a MATLAB code I am using the kullback_leibler_divergence dissimilarity function that can be found here. between each pair of observations in the MX-by-N data matrix X and. Let X be an MxP matrix representing m points in P-dimensional space and Y be an NxP matrix representing another set of points in the same space. TagsCompute the Euclidean distance. Output argument "h" (and possibly others) not assigned a value in the execution with "getColorHist"Copy. 2954 1. Find the patients in the patients data set that are within a certain age and weight range of the patients in Y. % n = norm (v) returns the Euclidean norm of vector v. is there an alternative to pdist2 that calculates the distance between a matrices with different column numbers. The list of methods of measuring the distance currently supported by pydist2 is available at read the docs. map=logical (map+map. Answers (2) You can do this with the pdist2 function. For example, you can find the distance between observations 2 and 3. . d(u, v) = max i | ui − vi |. 9448. So, do you know how to make the calcul inside the. x = [x (1:end-1),x (2:end)]; as mentioned in the research paper I am following. Mahalanobis distance has no meaning between two multiple-element vectors. 相同的结果，我想有两种不同的方法来计算两组数据之间的马氏距离，就像你上面解释的那样： 1） 将样本集中的每个数据点与参考分布计算出的mu和sigma矩阵进行. distfun must return an m2-by-1 vector of distances d2, whose kth element is the distance between XI. comparison of two histograms using pdist2. Description. This is accounted for when auto-calculating sigma # above by dividing by sqrt(2) # Here is how you first. end. Z (2,3) ans = 0. 0000 %# Note that I get different results than your example!Very clever - I wouldn't have thought about the pdist2 function (+1). vector. Matrix represents all combinations of distances. It computes the distances between rows of X. I am looking to find the distance between a set of points and the coordinates of a grid. Let us create a matlab script called speedtest. Y = pdist(X, 'euclidean'). Specify the origin of the local NED system with the geodetic coordinates lat0, lon0, and h0. %. . My code is as follows: for i=1:N % M,N is the size of the matrix x for whose elements I am computing similarity matrix for j=1:N D (i,j) = sqrt (sum (x (:,i)-x (:,j)). I want the haversine distance to be more specific. 创建包含三个观测值和两个变量的矩阵。. Fowzi barznji on 16 Mar 2020. 0. Despite minor lags in time frames, users ignore them because Sage is cost-efficient. matlab pdist2,matlab中pdist2函数; windows 10 bash change PS1; linxu中删除指定时间之前的文件shell脚本; react中如何做成 tab 切换的效果; __declspec的英文含义; 从零复现PyTorch版（3） webpack报错:Invalid options object. I cannot found any tips on how to convert this statement: matlab. See the Wikipedia website. pdist2 computes the distances between observations in two matrices and also returns a distance matrix. Hi, So if I have one 102x2 matrix of x,y coordinates, and another 102x2 matrix of x,y coordinates, can pdist be used to compare all the rows in matrix 1 with the rows in matrix 2?. まぁそれでもDNNがボトルネックなので大した影響はないのですが。代わりにpdist2という関数があり. comparison of two histograms using pdist2. Fowzi barznji on 16 Mar 2020. 1. I need to develop a function to create an array of points and find the distances between every pair of points. where ker_bw is the kernel bandwidth/sigma and x is input of (1000,1) and I have reshaped the input x as. Topological Data Analysis Learning Code. Use kmeans to create clusters in MATLAB® and use pdist2 in the generated code to assign new data to existing clusters. Improve this answer. linux 网络的配. distance. I need to find equivalent data in two columns with different row numbers in Matlab. Learn more about for loop, matrix, matlab, pdist MATLAB Hi everybody, i have two 3D matrix A and B with different lengths. , (2, , corresponds to the distance between objects. % ZI is a 1-by-n vector containing a single observation. Categories MATLAB Mathematics Random Number Generation. Add the %#codegen compiler directive (or pragma) to the entry. 5823 71. If K is greater than MX, PDIST2 returns an MX-by-MY distance matrix. 使用Matlab计算各种距离. 查 ， 改 ， 增 ， 删 4个操作。 到这里，大家应该有个大概的了解了，get. Given a matrix A of size [N,3] and a matrix B of size [M,3], you can use the pdist2 function to get a matrix of size [M,N] containing all the pairwise distances. I used this MATLAB function to compute the distance matrix Dists = pdist2(fruchterman_graph(:,:),fruchterman_graph(:,:),'euclidean'); but it fails on large networks for both speed and finally memory. pdist is working fine and the stats toolbox is set in the path. Learn more about matlab, distance, command, haversine, coordinates, km, deggrees, calculation, difference I would like to use the command pdist2 in order to compute distance between two geographical coordinates. 计算成对观测值之间的欧几里德距离，并使用 squareform 将距离向量转换为矩阵。. Usually, the Euclidean distance is the distance metric that is used. The points are grouped into two clusters. MATLAB (matrix laboratory) is a numerical computing environment and fourth-generation programming language. In human motion analysis, a commond need is the computation of the distance between defferent point sets. 9448 0. Sorted by: 1. Hello all, I am very new to Matlab and I am having quite a bit of difficulty understanding how to calculate the distance between pairs of points in a 2-D space. To save memory on the device, you can separate training and prediction by using kmeans and pdist2, respectively. Learn more about mahalanobis, mahal, pdist2, pairwise, difference, versus . 1. Alternatively, you could avoid computing the 2D histogram by creating a grid covering your scattered points and computing the minimum distance from each grid point to one of your scattered points using pdist2 from the Statistics Toolbox. matlab. for i=1:m. I would like to use the command pdist2 in order to compute distance between two geographical coordinates. Sir, actually the block[50 X 6] contains 'minutiae' information which contains the following data in columns [X, Y, CN, Theta, Flag, 1]and rows contains number of minutiae information on the dorsalhandvein. I never need the non-squared distances. For example, you can find the distance between observations 2 and 3. It will not be the longest perpendicular distance along the centerline. PixelList, CCstats (2). In the case of the manual method you are using the i index in both of them. Each row of both matrices identifies a point in 2D space. %. Rows of X and Y correspond to observations, That is, it works on the ROWS of the matrices. The builtin function `pdist2` could be helpful, but it is inefficient for multiple timeframes data. load patients X = [Age Weight]; Y = [20 162; 30 169; 40 168]; % New patients. matlab use my own distance function for pdist. I have a matrix A and I compute the dissimilarity matrix using the downloaded function. normal,'jaccard'); end. , is a vector of length ), (2,3),. pdist2 is providing all the pairwise distances. end. Y would be the query points. * t at first and throws it from the cache to the slow RAM. . Use meshgrid() and pdist2(). 5 seconds. if you don't have a working pdist2, use the following code. but works fine. D can also be a more general dissimilarity vector or matrix that conforms to the output format of pdist or pdist2, respectively. ) clear; % Erase all existing variables. Then sum() is fed with the complete result, and throws the result again to the RAM. Generate C code that assigns new data to the existing clusters. dist = pdist2(d,centroids,distance); % distance between all data points and centroids I'd like to mention that I used matlab in system with windows 8 and following configuration :Mahalanobis Distance with a three variables vector. For the future, try typing edit pdist2 (or whatever other function) in Matlab, in most cases, you will see the Matlab function, which you can then convert to python. % KMN = KMN + (sigmaF2^2)*exp(-0. 1 Answer. 🄳. Second, Pdist2 Pairwise distance between, sets of observations Syntax D = Pdist2 (x, y) D. 2. Find a format that’s right for you. Using pdist with two matrix's. Jim Lehane on 4 Mar 2013. Dec 17, 2014 at 14:41. This can be modified as necessary, if one wants to apply distances other than the euclidean. This MATLAB function returns the distance between each pair of observations in X and Y using the metric specified by Distance. 两两距离按 (2,1)、 (3,1)、 (3,2) . example. ordfilt2函数 在MATLAB图像处理工具箱中提供的二维顺序统计量滤波函数。它的滤波概念是中值滤波的推广，中值滤波是对于给定的n个数值｛al ,a2,. D = pdist ( [Y (:) Z (:)] ); % a compact form D = squareform ( D ); % square m*n x m*n distances. pairwise distance between rows of matrix A and B. mahal returns the squared Mahalanobis distance. Efficient computation of Euclidean distance between cell arrays. Z (2,3) ans = 0. m to avoid conflict with matlab pdist2 function): For calculating the chi-square similarity. For example, this is a required step in the ICP point set registration algorithm. Pass Z to the squareform function to reproduce the output of the pdist function. Specify the initial values of the kernel parameters (Because you use a custom kernel function, you must provide initial values. . com). 167. Go to MATLAB > Preferences > Workspace and ensure the Maximum array size limit is set to 100%. e. Matlab toolboxes required: Statistics toolbox; Parallel computing toolbox (optional, only if you want to take advantage of the cpu cores by using multiple workers). distfun must. Share. Hello all, I am very new to Matlab and I am having quite a bit of difficulty understanding how to calculate the distance between pairs of points in a 2-D space. Can anyone give me a little tint for this one? If pdist is not working for this one, is there any other function that I can use? Or I have to write some code to calculate the dissimilarity every time, merge the points with smallest dissimilarity, update the dissimilarity matrix and original data matrix, merge, and do the circle. between each pair of observations in the MX-by-N data matrix X and. end. 1. For MATLAB's knnsearch, X is a 2D array that consists of your dataset where each row is an observation and each column is a variable. 0670 0. y both form part of multidimensional coordinates for a single multidimensional point node(i) and likewise there is a single multidimensional point designated for node(j) and you want to find the multidimensional distance, then you would need different code (and you would need to. Learn more about histogram comparison, image comparison, image segmentation, distance comparison, chi-square Image Processing Toolbox hi, I am having two Images I wanted compare these two Images by histograms I have read about pdist that provides 'chisq' but i think the way i am doing is not correct. Sign in to answer this question. Copy. You can use pdist2 to compute all distances and then pick the minimal distance. . Mahalanobis distance between two vectors in MATLAB. nico1234. Fully MATLAB compatible. It is a virtually pleasant drag-and-drop environment. 2 (R2019a) Statistics and Machine Learning Toolbox Version 11. de 2012 1 Enlazar Traducir Comentada: Ana Gonçalves el 16 de Feb. It computes the distances between rows of X. Copy. After reading through the documentation, it is a very versatile tool. You need to take the square root to get the distance. Learn more about mahalanobis, mahal, pdist2, pairwise, difference, versus . it could be little slower than pdist2. BUT: The code shown here is 10-100 times faster, utilizing the. We would like to show you a description here but the site won’t allow us. . The appended image_domain function models the specimen as homogeneous. D = pdist2(x, y) < 10; D(1:size(D,1)+1:end) = 0; G = graph(D); C = conncomp(G); The connected components is vector that shows the cluster numbers. 2. 3:56 Video length is 3:56. I'd like to compute the average distance between each observation in my matrix, but pdist() fails here, because apparently it would take. pdist2 computes the distance between all pairs of points of the two inputs. mahal. D = PDIST2 (X,Y,DISTANCE, 'Largest',K) returns the K largest pairwise distances sorted in descending order. I have two matrices X and Y. >> jaccard_similarity = 1 - pdist2(bin_counts_a,bin_counts_b,'jaccard') jaccard_similarity = 0 gives 0 because each entry in bin_counts_b is (slightly) different from that in bin_counts_a . Actually, that is simply NOT the formula for Euclidean distance. I studied about pdist2 function , I used it : for. function out = myAngDiff (alpha,beta) out = zeros (length (beta),1); for i=1:length (beta)MATLAB - passing parameters to pdist custom distance function. Generate C code that assigns new data to the existing clusters. If you have to implement the distance yourself (school assignment for instance) this is of absolutely no use to you, but if you just need to calculate the distance as an intermediate step for other calculations I highly recommend d = Pdist2(a,b, distance_measure) the documentation is on matlabs site. 这里 D 要特别注意，D 是一个长为m (m–1)/2的行向量. 5 seconds. Any help. Compute the Euclidean distance between pairs of observations, and convert the distance vector to a matrix using squareform. The distance between each sample in A and each sample in B can be calculated as follows: First, define a matrix D of size 75x50, s. Fit a GPR model using the custom kernel function, kfcn. This can be done in pdist2. spatial. Thus if you input a matrix with N points and one with M points, you get N*M distances. between each pair of observations in the MX-by-N data matrix X and. MATLAB 距离函数及用法. 6. It finds the distance for each pair of coordinates specified in two vectors and NOT the distance between two matrices. The Chebyshev distance between two n-vectors u and v is the maximum norm-1 distance between their respective elements. calculate_distance. pdist. Learn more about distance, matched points, error, pdist2, distance between points Hello, I have two sets of matched points (matchedPoints1 and matchedPoints2, the size is 142x1 and the type is SURFPoints) and I want to. It is much faster than computing the distances using a nested for loop. 2. In this workflow, you must pass training data, which can be of considerable size. Conclusion. Note that generating C/C++ code requires MATLAB® Coder™. D can be the output of pdist or pdist2, or a more general dissimilarity vector or matrix conforming to the output format of pdist or pdist2, respectively. Here’s how to calculate the L2 Euclidean distance between points in MATLAB. I would like to use the command pdist2 in order to compute distance between two geographical coordinates. Let X be an MxP matrix representing m points in P. between each pair of observations in the MX-by-N data matrix X and. Location,labels) colormap (hsv (numClusters)) title ( 'Point Cloud Clusters')The loop is faster, because Matlab have to access the three used arrays X, Y and d6 locally only. out. 0. X is a 50*3 matrix, Y is a 60*3 matrix. I don't think it is any faster computing that with hand-written MATLAB code. which -all pdist will list all the pdist MATLAB files in your MATLAB path. Larger values indicate high distance; - Euclidean similarity, which vary in the range of [0 : 1]. 5 (R2019a)Hence I'm likely running into memory problems which is likely causing MATLAB to shut down before it finishes calculating, or run out of charge. . matlab Pdist2 with mahalanobis metric. in Matlab, find the distance for every matrix element. which -all pdist will list all the pdist MATLAB files in your MATLAB path. 0670 0. Then Matlab's unique() solves the problem efficiently. Goncalves. m","path":"MyData. Add the contribution due to squared exponential. computes the distance between objects in the data matrix, , using the method. Minkowski distance and pdist. 2GB) array exceeds maximum array size preference (94. For assessing the similarity between the histograms, 'cosine' is probably a more meaningful option than 'jaccard' . Introduction to GPU Computing with MATLAB. linprog 参数选择：linprog(c, A_ub, b_ub, A_ed, b_ed, bounds=None) 参数解释—>>> c：价值向量，只规划最小值，若规划最大值需改为-c，但注意得出的结果应再加负号即为所求最大值； A_ub和b_ub：分别对应于不等式约束的向量，注意只取小于等于时的数组，而且A_ub. which takes is expected to take a single value for alpha and a vector for beta and use a for loop to iterate through all the difference between alpha and each intry in beta. – am304. Larger values indicate high similarity; - cosine distance, which vary in the range of [0 : 2]. Efficiently compute pairwise squared Euclidean distance in Matlab. Learn more about histogram comparison, image comparison, image segmentation, distance comparison, chi-square Image Processing Toolbox. I need to build a for loop to calculate. What i want to do is to write a code, that does not involve loops and pdist2,. 2. For a dataset made up of. 欧氏距离： 也可以用表示成向量运算的形式： (4)Matlab计算欧氏距离 Matlab计算距离主要使用pdist函数。若X是一个M×N的矩阵，则pdist(X)将X矩阵M行的每一. I need to build a for loop to calculate the pdist2 between the first row of A and all the rows of B, the second row of A and all. 5 multi threads - foo4() (see below) - 4. Copy. pdist2 Pairwise distance between two sets of observations. You need to rename or delete c: oolboxclassifypdist2. A el 7 de Feb. 0. y = squareform (Z)The present code is a set of three Matlab functions that provide calculation of six metrics: - Euclidean distance, which vary in the range of [0 : Inf]. However, I use this matrix in a loop like this : for i:1:n find (Distance (i,:) <= epsilon);. Function File: pdist2 (x, y, metric) Compute pairwise distance between two sets of vectors. Since you want number instead of percentage, multiply by the number of columns: pdist2(A,B,'hamming')*size(A,2) ans = 3 3 3 0 2 3Matlab may process large data sets faster due to its Fortran compiled library files. Use kmeans to create clusters in MATLAB® and use pdist2 in the generated code to assign new data to existing clusters. Your third party file c: oolboxclassifypdist2. Idx has the same number of rows as Y. Add the %#codegen compiler directive (or pragma) to the entry. Use the distance matrix to create a logical adjacency matrix that shows two point are neighbors if distance between them is less. . Matlab taking too much time in computing mex function for large array. Copy. D1 = pdist (X) D1 = 1×3 NaN NaN 0. Define an entry-point function named findNearestCentroid that accepts centroid positions and new data, and then find the nearest cluster by using pdist2. This MATLAB function performs k-medoids Clustering to partition the observations of the n-by-p matrix X into k clusters, and returns an n-by-1 vector idx containing cluster indices of each observation. 0. Use kmeans to create clusters in MATLAB® and use pdist2 in the generated code to assign new data to existing clusters. Or clearvars if you want. In this workflow, you must pass training data, which can be of considerable size. . Z (2,3) ans = 0. I want to compute the distance between two vectors by using Jaccard distance measure in matlab program. cityblockSimilarity. This is the code which runs only on smallish graphs (not hundreds of thousands):pydist2 is a python library that provides a set of methods for calculating distances between observations. Currently avaliable codes in FEX are also insufficient as they can only compute (squared. How to cluster a Time Series using DBSCAN python. mean: Compute the mean. example. Rows of X and Y correspond to observations, That is, it works on the ROWS of the matrices. Mahalanobis distance in matlab: pdist2() vs. Copy. Z (2,3) ans = 0. Overview of OpenCascade Library [email protected] 摘要Abstract：对OpenCascade 库的功能及其实现做简要介绍。. Note that generating C/C++ code requires MATLAB® Coder™. mat file if you need more help. clc; % Clear the command window. But recently I saw pdist2 and I think it can help me avoid the loop. 判别分析时，通常涉及到计算两个样本之间的距离，多元统计学理论中有多种距离计算公式。MATLAB中已有对应函数，可方便直接调用计算。距离函数有：pdist, pdist2, mahal, squareform, mdscale, cmdscale. ^2,2)); % calculate the distance between these toc Does anyone else have a clever idea that would optimise this - even just by a tiny. This means that I want to create a custom distance to feed it to the classifier. For code. Use kmeans to create clusters in MATLAB® and use pdist2 in the generated code to assign new data to existing clusters. 5 seconds julia 0. D = PDIST2 (X,Y,DISTANCE, 'Largest',K) returns the K largest pairwise distances sorted in descending order. computes the distance between objects in the data matrix, , using the method. Each row of both matrices identifies a point in 2D space. I want a supervised learning on a distance metric. X is a 50*3 matrix, Y is a 60*3 matrix. i am currently doing project on image processing in matlab,. Generate Code. tic; d2 = pdist2 (p1,pn); t2 (p) = toc; end. pdist_oneLine. Find the treasures in MATLAB Central and discover how the community can help. ', 'chisq'); pdist2 considers each row as a different sample. ^2; where x and y are nx3 matrices for large n. pdist2 Pairwise distance between two sets of observations. A and B should have same no of columns. If K is greater than MX, PDIST2 returns an MX-by-MY distance matrix. . % ZJ is an m2-by-n matrix containing multiple observations. % n = norm (v) returns the Euclidean norm of vector v. ) clear; % Erase all existing variables. However, generally the manual calculation is slightly faster or. This distance represents how far y is from the mean in number of standard deviations. Idx = knnsearch (X,Y,Name,Value) returns Idx with additional options specified using one or more name-value pair arguments. Fully MATLAB compatible. I know the distance(lat1,lon1,lat2,lon2) command is the suitable for this but I want to use pdist2 command. matlab pdist2,matlab中pdist2函数; windows 10 bash change PS1; linxu中删除指定时间之前的文件shell脚本; react中如何做成 tab 切换的效果; __declspec的英文含义; 从零复现PyTorch版（3） webpack报错:Invalid options object. The euclidean distance between the reference vector and all the elements in the pixel location vector is computed using the MATLAB function "pdist2" and the result is applied to some conditions; however, upon running the code, this function seems to be taking the longest to compute (i. To save memory on the device, you can separate training and prediction by using kmeans and pdist2, respectively. Learn more about for loop, matrix, matlab, pdist MATLAB Hi everybody, i have two 3D matrix A and B with different lengths. I have two matrices X and Y. mahal() function. MY-by-N data matrix Y. between each pair of observations in the MX-by-N data matrix X and. MATLAB 用于计算距离矩阵的内置函数是 pdist2。 这个 函数 做同样的事情，但也返回一个角度矩阵，它是每个可能的点对定义的角度。 此 函数 的局限性在于它仅计算欧几里得距离，并且仅适用于 2D。 5 4. However, pdist2 is an optimized method to calculate the euclidean distances between points in two vectors. % Learning toolbox. cosined=sqrt (sum (abs ( (a-b). If you need to create a list with the indeces, see the method below to avoid loops, since that was the real time-consuming part of your code, rather than the distance method itself. Try something like E = pdist2 (X,Y-mean (X),'mahalanobis',S); to see if that gives you the same results as mahal. I know the distance(lat1,lon1,lat2,lon2) command is the suitable for this but I want to use pdist2 command. To find the distance from every one of 16 points to every one of another set of 16 points would give 16 * 16 = 256 distances. MATLAB's custom distance function example. Use kmeans to create clusters in MATLAB® and use pdist2 in the generated code to assign new data to existing clusters. D = pdist (X) D = 1×3 0. Pairwise distances between observations, specified as a numeric row vector that is the output of pdist, numeric square matrix that is the output of pdist2, logical row vector, or logical square matrix. > In pdist2 (line 253) In ExhaustiveSearcher/knnsearch (line 216) In ClassificationKNN/score (line 428) In ClassificationKNN/predict (line 713) Relevant Code Below: (Any missed out is just the. ok after reading pdist2 function in matlab , i thought that writing smallest means that it returns the. I also know that pdist2 can help reduce the time for calculation but since I am using version 7. pdist2plus (p1,p2) In point set analysis, it is useful to compare 2 sets of points by computing the distance between each possible point pair. In Matlab, the D = pdist(X, Y) function computes pairwise distances between the two sets of observations X and Y. distance used is L1 norm. . % Learning toolbox. between each pair of observations in the MX-by-N data matrix X and. pdist2 Pairwise distance between two sets of observations. as arguments a 1-by-n vector XI, corresponding to a single row of X, and an m2-by-n matrix XJ, corresponding to multiple rows of X. [D,I] = PDIST2. Here's an example (using the same sample data as above):Mahalanobis distance in matlab: pdist2() vs. Load 7 more related questions Show fewer related questions Sorted by: Reset to default Know someone who can answer? Share a link. .