Multiple discriminant analysis

Multiple Discriminant Analysis (MDA) is a method for compressing a multivariate signal to yield a lower-dimensional signal amenable to classification.

MDA is not directly used to perform classification. It merely supports classification by yielding a compressed signal amenable to classification. The method described in Duda et al. (2001) §3.8.3 projects the multivariate signal down to an M−1 dimensional space where M is the number of categories.

单词	Multiple discriminant analysis
释义	Multiple discriminant analysis 英语百科 Multiple discriminant analysis Multiple Discriminant Analysis (MDA) is a method for compressing a multivariate signal to yield a lower-dimensional signal amenable to classification. MDA is not directly used to perform classification. It merely supports classification by yielding a compressed signal amenable to classification. The method described in Duda et al. (2001) §3.8.3 projects the multivariate signal down to an M−1 dimensional space where M is the number of categories.
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