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Study notes for Clustering and K-means

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1. Clustering Analysis

  • Clustering is the process of grouping a set of (unlabeled) data objects into multiple groups or clusters such that objects within a cluster have high similarity, but are very dissimilar to objects in other clusters. Dissimilarities and similarities are assessed based on the attribute values describing the objects and often involve distance measures.i



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