Journal
2013 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE
Volume 18, Issue -, Pages 1757-1763Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.procs.2013.05.344
Keywords
compositional data; correlation coefficient; logratio transformation; centered logratio transformation
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Funding
- National Natural Science Foundation of China [71101146, 71241014]
- President Fund of GUCAS
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Because compositional data have a series of complicated mathematical characteristics such as constant sum constraints, the usage of traditional statistical analysis methods in analyzing compositional data will usually cause difficulties. This paper focuses on the approach to measure the correlation of compositional data. Since the algorithm of correlation coefficient of common data is not adaptive to multi-variables data, and traditional canonical correlation analysis cannot be directly applied to compositional data, two kinds of approaches are presented which are based on logratio transformation and centered logratio transformation separately, combined with canonical correlation analysis, and succeeds in computing correlation coefficient of compositional data. (C) 2013 The Authors. Published by Elsevier B.V.
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