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Clustering in Streams

In: Machine Learning for Data Science Handbook

Author

Listed:
  • Charu C. Aggarwal

    (IBM T. J. Watson Research Center)

Abstract

Stream clustering was one of the earliest problems that was studied in the online setting. This problem is popular because it is often used as a subroutine for other data mining problems. For example, stream clustering is often used to enable methods for classification and anomaly detection. This chapter provides an overview of stream clustering algorithms and their applications to various types of domains.

Suggested Citation

  • Charu C. Aggarwal, 2023. "Clustering in Streams," Springer Books, in: Lior Rokach & Oded Maimon & Erez Shmueli (ed.), Machine Learning for Data Science Handbook, edition 0, pages 271-300, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-24628-9_13
    DOI: 10.1007/978-3-031-24628-9_13
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