文章基本信息

标题：A Novel Dimension Reduction Technique based on Correlation Coefficient
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作者：Vinay Soni ; Ritesh Joshi
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：3
页码：4002-4004
出版社：TechScience Publications
摘要：In this paper, a novel simple dimension reduction technique for classification is proposed based on correlation coefficient. Existing dimension reduction techniques like LDA is known for capturing the most discriminant features of the data in the projected space while PCA is known for preserving the most descriptive ones after projection. Our novel technique integrates correlation coefficient and method of elimination for feature selection to reduce the dimensionality of input space. Our approaches are novel because our method finds alternatives to LDA and PCA in a 2D parameter space. Extensive experiments are conducted on various datasets.
关键词：Classification; Correlation Coefficient;Dimension Reduction.r.