Explain how to cluster the data sets using k-mediod clustering alogirh

Question

Explain how to cluster the data sets using k-mediod clustering alogirhtm?

07 Mar 2024

Answer :

Word Count : 266

K-medoids clustering is a partitioning algorithm that groups similar data points into clusters based on distance measures. Unlike k-means clustering, which uses centroids to represent clusters, k-medoids employs representative data points called medoids. The process of clustering data sets using k-medoids involves the following steps:

1. Initialization: Randomly select k data points from the dataset to serve as initial medoids.

2. Assignment: Assign each data point ___ ____ ______ __________ ____ _________ _____ ___.
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