Density-Based Clustering

@inproceedings{Sander2010DensityBasedC,
  title={Density-Based Clustering},
  author={J{\"o}rg Sander},
  booktitle={Encyclopedia of Machine Learning},
  year={2010}
}
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… CONTINUE READING
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