Do the following in MATLAB using a for loop and pdist2:

Visualization of similarity matrix. Represent every sample with a four-dimension vector (sepal length, sepal width, petal length, petal width). For every two samples, compute their pair-wise similarity. You may do so using the Euclidean distance or other metrics. This leads to a similarity matrix where the element (i,j) stores the similarity between samples i and j. Please sort all samples so that samples from the same category appear together. Visualize the matrix using the function imagesc() or any other function.

The data is loaded as follows:

load('iris.mat'); iris.Properties.VariableNames = {'Sepal_Length' 'Sepal_Width' 'Petal_Length' 'Petal_Width' 'Class'};