TWO CLASSIFICATION TECHNIQUES OF 3-WAY DISCRETE DATA

DOI

Bibliographic Information

Other Title
  • 3-way離散データを分類する二つの技法
  • -QUANTIFICATION BY MEANS OF CORRELATION RATIO AND THREE-DIMENSIONAL CORRELATION COEFFICIENT-
  • -相関比と3次相関係数による数量化-

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Description

Two new classification methods are proposed to find out clusters from 3-way discrete data. They are quantification methods using the criteria maximizing correlation ratio and three-dimensional correlation coefficient, which lead to solving eigenequations. Threedimensional correlation coefficient is defined by E?{(X-E(X))(Y-E(Y))(Z-E(Z))}/√E(X-E(X)) 2E(Y-E(Y)) 2E(Z-E(Z)) 2, which is convenient to estimate the degree of joint relation among three variables of 3-way data. Some properties of three-dimensional correlation coefficient are given. Results of applying the methods to small data are also presented.

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Details 詳細情報について

  • CRID
    1390001205179618944
  • NII Article ID
    130004013929
  • DOI
    10.2333/jbhmk.2.54
  • ISSN
    18804705
    03855481
  • Text Lang
    ja
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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