Article

Pathologies of Between-Groups Principal Components Analysis in Geometric Morphometrics

2019-05-13

Abstract excerpt

Good empirical applications of geometric morphometrics (GMM) typically involve several times more variables than specimens, a situation the statistician refers to as “high p/n ,” where p is the count of variables and n the count of specimens. This note calls your attention to two predictable catastrophic failures of one particular multivariate statistical technique, between-groups principal components analysis...

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Literature Corpus work: 60b5ee29-adf7-5f88-9fcd-86da7224569a
DOI: 10.1101/627448

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