k medoids clustering source code in java
#1

hi i am Shilpa P.S, i request for the code of K medoid in java. i am doing my mtec in cse. This is one of my casestudy. So i need help.
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#2

Idx = kmedoids (X, k) performs k-medoids Clustering to divide the observations of the n-by-p matrix into k clusters and returns an n-by-1 idx vector containing the cluster indexes for each observation. The rows of X correspond to points and the columns correspond to variables. By default, the kmedoids use the squared Euclidean distance measure and the k-means ++ algorithm to choose the initial positions of the group measurement.


K-means and k-medoids grouping data partitions in k number of mutually exclusive clusters. These techniques assign each observation to a group by minimizing the distance from the data point to the median or median position of its assigned group, respectively. The Mahalanobis distance is a measure with no unit calculated using the mean and standard deviation of the sample data, and explains the correlation within the data.
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