Many applications require the partitioning of data points into intuitively similar groups. The partitioning of a large number of data points into a smaller number of groups helps greatly in summarizing the data and understanding it for a variety of data mining applications.
Nonnegative Matrix Factorization Core Point Community Detection Algorithm Natural Cluster Density Attractor
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