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. © Springer-Verlag Berlin Heidelberg 2010.
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CITATION STYLE
Hayashi, K., Minami, H., & Mizuta, M. (2010). On multiple-case diagnostics in linear subspace method. In Proceedings of COMPSTAT 2010 - 19th International Conference on Computational Statistics, Keynote, Invited and Contributed Papers (pp. 493–500). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-7908-2604-3_49
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