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Pearson-correlation

于 2015-04-27 发布 文件大小:8KB
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  在统计学中,皮尔逊积矩相关系数(英语:Pearson product-moment correlation coefficient,又称作 PPMCC或PCCs[1], 文章中常用r或Pearson s r表示)用于度量两个变量X和Y之间的相关(线性相关),其值介于-1与1之间。在自然科学领域中,该系数广泛用于度量两个变量之间的相关程度。它是由卡尔·皮尔逊从弗朗西斯·高尔顿在19世纪80年代提出的一个相似却又稍有不同的想法演变而来的。这个相关系数也称作“皮尔森相关系数r”。(In statistics, Pearson product-moment correlation coefficient (English: Pearson product-moment correlation coefficient, also known PPMCC or PCCs [1], the article used or Pearson s r r representation) is a measure of the two variables X and Y between correlation (linear correlation), a value between-1 and 1. In the natural sciences, the coefficient is widely used to measure the degree of correlation between the two variables. It is made a similar Karl Pearson Francis Galton in the 1880s but made a slightly different idea evolved. The correlation coefficient is also called Pearson s correlation coefficient r .)

文件列表:

Pearson correlation
...................\.classpath,301,2014-11-30
...................\.project,395,2014-11-30
...................\bin
...................\...\Similarity.class,3834,2014-11-30
...................\data1.txt,14553,2014-11-30
...................\data2.txt,3464,2014-11-30
...................\src
...................\...\Similarity.java,3270,2014-11-30

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