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

K-medoids clustering is a partitioning method used in data mining to group similar data points into clusters. Unlike the more common k-means clustering, which uses means to represent cluster centers, k-medoids employs actual data points, known as medoids, as representatives of clusters. This algorithm is particularly useful when dealing with data sets where the mean may not be a representative data point.

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