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Visual Clustering

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 160 Accesses

Synonyms

Visual data mining; Visual mining

Definition

Synthesis of computational methods and interactive visualization techniques that represents a clustering structure, defined in higher dimensions to the human analyst in order to support the human analyst to explore and refine the clustering structure of high dimensional data spaces based on his/her domain knowledge.

Historical Background

The advancements made in computing technology over the last two decades allow both scientific and business applications to produce large data sets with increasing complexity and dimensionality. Automated clustering algorithms are indispensable for analyzing large n-dimensional data sets but often fall short to provide completely satisfactory results in terms of quality, meaningfulness, and relevance of the revealed clusters. With the increasing graphics capabilities of the available computers, researchers realized that an integration of the human into the clustering process based on visual feedbacks...

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Author information

Authors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Mike Sips

Authors
  1. Mike Sips
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Corresponding author

Correspondence to Mike Sips .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Computer Science Department, University of Konstanz, Konstanz, Germany

    Daniel A. Keim

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Sips, M. (2018). Visual Clustering. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1124

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