What Happens If in the Principal Component Analysis the Pearsonian is Replaced by the Brownian Coefficient of Correlation?

Sudhanshu K. Mishra
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引用次数: 3

Abstract

The Brownian correlation has been recently introduced by Szekely et al. (2007; 2009), which has an attractive property that when it is zero, it guarantees independence. This paper investigates into the effects and advantages, if any, of replacement of the Pearsonian coefficient of correlation (r) by the Brownian coefficient of correlation (say, ρ), other things remaining the same. Such a replacement and analysis of its effects have been made by the Host-Parasite Co-evolutionary algorithm of global optimization applied on six datasets.
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如果在主成分分析中用布朗相关系数代替皮尔逊相关系数会发生什么?
最近,Szekely等人(2007;2009),它有一个吸引人的性质,即当它为零时,它保证独立性。本文探讨了用布朗相关系数(如ρ)代替皮尔森相关系数(r)的效果和优点,如果有的话,其他因素保持不变。宿主-寄生虫协同进化算法在6个数据集上进行了全局优化,并对其效果进行了替换和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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