Density‐based clustering

@article{Kriegel2011DensitybasedC,
  title={Density‐based clustering},
  author={H. Kriegel and P. Kr{\"o}ger and J. Sander and A. Zimek},
  journal={Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
  year={2011},
  volume={1}
}
  • H. Kriegel, P. Kröger, +1 author A. Zimek
  • Published 2011
  • Computer Science
  • Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
  • 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. © 2011 John Wiley & Sons, Inc. WIREs Data Mining Knowl Discov 2011 1 231–240 DOI: 10… CONTINUE READING
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    References

    SHOWING 1-10 OF 59 REFERENCES
    Density-Connected Subspace Clustering for High-Dimensional Data
    • 400
    • PDF
    Clustering high dimensional data
    • I. Assent
    • Computer Science
    • Wiley Interdiscip. Rev. Data Min. Knowl. Discov.
    • 2012
    • 86
    Direct Clustering of a Data Matrix
    • 1,065
    Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
    • 1,115
    • PDF
    Subspace clustering
    • 633
    Semi-supervised Density-Based Clustering
    • 73
    • PDF
    EDSC: efficient density-based subspace clustering
    • 36