MULTI-CLASS DISCRIMINANT FUNCTION BASED ON CANONICAL CORRELATION IN HIGH DIMENSION LOW SAMPLE SIZE
نویسندگان
چکیده
منابع مشابه
Asymptotic Theory for Discriminant Analysis in High Dimension Low Sample Size
This paper is based on the author’s thesis, “Pattern recognition based on naive canonical correlations in high dimension low sample size”. This paper is concerned with discriminant analysis for multi-class problems in a High Dimension Low Sample Size (hdlss) context. The proposed discrimination method is based on canonical correlations between the predictors and response vector of class label. ...
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ژورنال
عنوان ژورنال: Bulletin of informatics and cybernetics
سال: 2013
ISSN: 0286-522X
DOI: 10.5109/1563533