Sparse quadratic classification rules via linear dimension reduction
نویسندگان
چکیده
منابع مشابه
Linear dimension reduction and Bayes classification
This paper develops an explicit expression for a compression matrix T of smallest possible left dimension k consistent with preserving the n-variate normal Bayes assignment of X to a given one of a finite number of populations and the k-variate Bayes assignment of TX to that population. The Bayes population assignment of X and TX are shown to be equivalent for a compression matrix T explicitly ...
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2019
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2018.09.011