Question

How to implement a K Medoid algorithm to cluster Iris dataset ? using MATLAB
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Answer 1

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. Rows of X correspond to points and columns correspond to variables. By default, kmedoids uses squared Euclidean distance metric and the k-means++ algorithm for choosing initial cluster medoid positions.