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Statistical Classification Using the Maximum Function 被引量:1

Statistical Classification Using the Maximum Function
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摘要 The maximum of k numerical functions defined on , , by , ??is used here in Statistical classification. Previously, it has been used in Statistical Discrimination [1] and in Clustering [2]. We present first some theoretical results on this function, and then its application in classification using a computer program we have developed. This approach leads to clear decisions, even in cases where the extension to several classes of Fisher’s linear discriminant function fails to be effective. The maximum of k numerical functions defined on , , by , ??is used here in Statistical classification. Previously, it has been used in Statistical Discrimination [1] and in Clustering [2]. We present first some theoretical results on this function, and then its application in classification using a computer program we have developed. This approach leads to clear decisions, even in cases where the extension to several classes of Fisher’s linear discriminant function fails to be effective.
出处 《Open Journal of Statistics》 2015年第7期665-679,共15页 统计学期刊(英文)
关键词 MAXIMUM DISCRIMINANT Function Pattern Classification NORMAL Distribution BAYES Error L1-Norm Linear QUADRATIC Space CURVES Maximum Discriminant Function Pattern Classification Normal Distribution Bayes Error L1-Norm Linear Quadratic Space Curves
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