3-way離散データを分類する二つの技法
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- 岩坪 秀一
- 電子技術総合研究所パターン情報部
書誌事項
- タイトル別名
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- TWO CLASSIFICATION TECHNIQUES OF 3-WAY DISCRETE DATA
- -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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説明
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.
収録刊行物
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- 行動計量学
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行動計量学 2 (1), 54-65, 1974
日本行動計量学会
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詳細情報 詳細情報について
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- CRID
- 1390001205179618944
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- NII論文ID
- 130004013929
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- ISSN
- 18804705
- 03855481
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可