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The k-medoids algorithm is a clustering algorithm related to the k-means algorithm and the medoidshift algorithm.
Algorithm: k-medoids. PAM, a k-medoids algorithm for partitioning based on medoid or central objects. Input: k: the number of clusters, D: a data set containing n objects. Output: A set of k clusters.
 See also: Clustering, K-means, Expectation, Data mining, Distribution
  
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