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Proceedings of COMPSTAT'2010 pp 493–500Cite as

On Multiple-Case Diagnostics in Linear Subspace Method

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Abstract

In this paper, we discuss sensitivity analysis in linear subspace method, especially on multiple-case diagnostics.

Linear subspace method by Watanabe (1973) is a useful discriminant method in the field of pattern recognition. We have proposed its sensitivity analyses, with single-case diagnostics and multiple-case diagnostics with PCA.

We propose a modified multiple-case diagnostics using clustering and discuss its effectiveness with numerical simulations.

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Author information

Authors and Affiliations

  1. Graduate School of Information Sciences and Technology, Hokkaido University, N14W9, Kita-ku, Sapporo, Japan

    Kuniyoshi Hayashi

  2. Information Initiative Center, Hokkaido University, N14W9, Kita-ku, Sapporo, Japan

    Hiroyuki Minami & Masahiro Mizuta

Authors
  1. Kuniyoshi Hayashi
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  2. Hiroyuki Minami
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  3. Masahiro Mizuta
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Corresponding author

Correspondence to Kuniyoshi Hayashi .

Editor information

Editors and Affiliations

  1. Centre de Recherche INRIA Paris-Rocquenc, Domaine de Voluceau, Le Chesnay cedex, 78153, France

    Yves Lechevallier

  2. , chaire de statistique appliquée, CNAM, rue Saint Martin 292, Paris, 75003, France

    Gilbert Saporta

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Hayashi, K., Minami, H., Mizuta, M. (2010). On Multiple-Case Diagnostics in Linear Subspace Method. In: Lechevallier, Y., Saporta, G. (eds) Proceedings of COMPSTAT'2010. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2604-3_49

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