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Cluster Analysis: Basic Concepts and Algorithms

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K 7. Cluster Analysis: Basic Concepts and Algorithms Cluster analysis divides data into groups (clusters) that are meaningful, useful, or both. If meaningful groups are the goal, then the clusters should capture the k natural structure of the data. In some cases, however, Cluster analysis is used k for data summarization in order to reduce the size of the data. Whether for understanding or utility, Cluster analysis has long played an important role in a wide variety of elds: psychology and other social sciences, biology, statistics, pattern recognition, information retrieval, machine learning, and data mining.

7 Cluster Analysis: Basic Concepts and Algorithms Clusteranalysisdividesdataintogroups(clusters)thataremeaningful,useful, orboth.Ifmeaningfulgroupsarethegoal ...

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