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Density-based clustering
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DOI：10.1002/widm.30.png)
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Abstract
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Clustering refers to the task of identifying groups or clusters in a data set. In density-based clustering, a cluster is a set of data objects spread in the data space over a contiguous region of high density of objects. Density-based clusters are separated from each other by contiguous regions of low density of objects. Data objects located in low-density regions are typically considered noise or outliers. (C) 2011 John Wiley & Sons, Inc. WIREs Data Mining Knowl Discov 2011 1 231-240 DOI: 10.1002/widm.30
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