A Comparison of Some Cluster-Seeking Techniques

Abstract

Conventional multivariate statistics examine in considerable depth the significance of relationships existing in data as shown by the mean and the covariance matrix. Shortcomings of this approach are briefly discussed. 'Cluster-seeking techniques' are discussed as alternatives to conventional multivariate methods. Thirty variants of cluster-seeking techniques, the total number presently known to the author, are divided into seven categories: probabilistic, signal detection, clustering, clumping, eigenvalue, minimal mode seeking and miscellaneous. These larger classes are contrasted and, within each class, the techniques are summarized and compared. A composite technique that combines the best features of the various approaches is proposed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1966
Accession Number
AD0643287

Entities

People

  • Geoffrey H. Ball

Organizations

  • SRI International

Tags

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Molecular Photonics/Laser Physics
  • Systems Analysis and Design