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Clustering by Regression Analysis

  • Masahiro Motoyoshi
  • Takao Miura
  • Isamu Shioya
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2737)

Abstract

In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and criterion to combine clusters.

In this investigation, we propose a new method to avoid this deficiency. Here we assume there exists aspects of local regression in data. Then we develop our theory to combine clusters using \(\mathcal{F}\) values by regression analysis as criterion. We examine experiments and show how well the theory works.

Keywords

Data Mining Multivariable Analysis Regression Analysis Clustering 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Masahiro Motoyoshi
    • 1
  • Takao Miura
    • 1
  • Isamu Shioya
    • 2
  1. 1.Dept.of Elect.& Elect. Engr.HOSEI UniversityTokyoJapan
  2. 2.Dept.of Management and InformaticsSANNO UniversityKanagawaJapan

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