Comparative Analysis of Principal Components Can be Misleading
نویسندگان
چکیده
منابع مشابه
Comparative Analysis of Principal Components Can be Misleading.
Most existing methods for modeling trait evolution are univariate, although researchers are often interested in investigating evolutionary patterns and processes across multiple traits. Principal components analysis (PCA) is commonly used to reduce the dimensionality of multivariate data so that univariate trait models can be fit to individual principal components. The problem with using standa...
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Most existingmethods formodeling trait evolution are univariate, while researchers are oen interested in investigating evolutionary patterns and processes across multiple traits. Principal components analysis (PCA) is commonly used to reduce the dimensionality of multivariate data as univariate trait models can be t to the individual principal components. e 15 problem with using standard PCA ...
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ژورنال
عنوان ژورنال: Systematic Biology
سال: 2015
ISSN: 1076-836X,1063-5157
DOI: 10.1093/sysbio/syv019