Explain hierarchical versus partitional clustering
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Clustering is a machine learning technique for analysing data and dividing in to groups of similar data. These groups or sets of similar data are known as clusters. Clusters analysis looks at clustering algorithms that can identify clusters automatically. Hierarchical and Partitional are two such classes of clustering algorithms break up the data into a hierarchy of clusters.Partitional algorithms divide the data set into mutually disjoint partitions.
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