Improvement of Similarity Measure: Pearson Product-Moment Correlation Coefficient

Abstract

Abstract:

Aim To study the reason of the insensitiveness of Pearson product-moment correlation coefficient as a similarity measure and the method to improve its sensitivity. Methods Experimental and simulated data sets were used. Results The distribution range of the data sets influences the sensitivity of Pearson product-moment correlation coefficient. Weighted Pearson product-moment correlation coefficient is more sensitive when the range of the data set is large. Conclusion Weighted Pearson product-moment correlation coefficient is necessary when the range of the data set is large.

Key words:

chromatographic fingerprints,

chromatographic fingerprints, similarity, similarity, quality control, quality control, weighted Pearson product-moment correlation coefficient

, weighted Pearson product-moment correlation coefficient

CLC Number:

R911.1

R91701

Supporting:

LIU Yong-suo, MENG Qing-hua, CHEN Rong, WANG Jian-song, JIANG Shu-min, HU Yu-zhu^*. Improvement of Similarity Measure: Pearson Product-Moment Correlation Coefficient[J]. .

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