Biases with the Generalized Euclidean Distance measure in disparity analyses with high levels of missing data

Volume: 62, Issue: 5, Pages: 837 - 849
Published: May 17, 2019
Abstract
The Generalized Euclidean Distance ( GED ) measure has been extensively used to conduct morphological disparity analyses based on palaeontological matrices of discrete characters. This is in part because some implementations allow the use of morphological matrices with high percentages of missing data without needing to prune taxa for a subsequent ordination of the data set. Previous studies have suggested that this way of using the GED may...
Paper Details
Title
Biases with the Generalized Euclidean Distance measure in disparity analyses with high levels of missing data
Published Date
May 17, 2019
Volume
62
Issue
5
Pages
837 - 849
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