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Clustering

  • Shigeo Abe

Abstract

Clustering is to divide a set of unlabeled data into several subsets called clusters according to the data distribution. Batch clustering clusters gathered data usually by iterative computations, while on-line clustering clusters Incoming data according to the relative relations to the already clustered data.

Keywords

Training Data Cluster Algorithm Weight Vector Input Space Mahalanobis Distance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2001

Authors and Affiliations

  • Shigeo Abe
    • 1
  1. 1.Graduate School of Science and TechnologyKobe University, RokkodaiNada, KobeJapan

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