I want to sort matrix A using the values in the column matrix B to have the C below: C=[A=[3 3 6; 5 5 9; 7 9 4; 2 2 5; 1 1 4; 8 1 2; 4 4 8; 6 8 5; 9 3 4] I have tried the code below, but it seems not to work ...
X = sort (Y) is used to sort the elements of Y in the ascending order. If input Y is a vector, the function sort (Y) will sort the elements of the vector Y. If input Y is a matrix, the function sort (Y) will treat the columns as vectors & will sort each column. X = sort...
Create a matrix and sort its rows in ascending order based on the elements in the first column. When the first column contains repeated elements, sortrows looks to the elements in the second column to break the tie. For repeated elements in the second column, sortrows looks to the third col...
I have a 5*2 matrix like A=[3,4;2,5;1,6;4,7;5,9;] your answer sort this like A=[1,4;2,5;3,6;4,7;5,9;] , as you see it sort rows and column but I want to sort just rows like A=[1,6;2,5;3,4;4,7;5,9;] ...
forj = 1:numel(Auni)%go throguh the unique values of the first column ifA1(i) == Auni(j)%if the point equals one of the uniqe values [A2 , sortdx] = sort(A2);%sort out the second column of matrix A A1 = A1(sortidx);%sort the first column accordingl...
Sort the rows of X in descending order and return the top 4 rows. By default, topkrows sorts using the first column of the matrix. For any rows that have equal elements in a particular column, the sorting is based on the column immediately to the right. Get TA = topkrows(X,4) TA...
Example: sortx(h,column,'MissingPlacement','last')Output Arguments collapse all C— Sorted color data matrix Sorted color data, returned as a matrix. The values in the matrix appear in the same order as they appear on the heatmap. The ColorDisplayData property of the HeatmapChart object ...
B = sort(A) sorts the elements of A. By default, sort uses ascending sorted order. If A is a vector, then sort(A) sorts the vector elements. If A is a matrix, then sort(A) treats the columns of A as vectors and sorts each column. If A is a multidimensional array, then sort(...
To sort the confusion matrix according to the positive predictive value, normalize the cell values across each column by setting theNormalizationproperty to'column-normalized'and then usesortClasses. After sorting, reset theNormalizationproperty back to'absolute'to display the total number of observations...
Count_Number=1+Origin_Matrix_Column*(Origin_Matrix_Column-1); for i=[1:Omega_Column:Count_Number] row=k_Token(i:i+Xi_Column-1); k=[k;row]; end display(k) 我们就可以得到一下结果: 计算扰动后的权重矩阵: k_Size=size(k);