Article ID Journal Published Year Pages File Type
4374988 Ecological Informatics 2013 7 Pages PDF
Abstract
► Classifying populations using individual data should depend on individual variability. ► The k-means algorithm for populations does not depend on individual variability. ► An extension of Ward's variance criterion can be used to classify two-level datasets. ► The two-level classification adapts the size and shape of clusters.
Keywords
Related Topics
Life Sciences Agricultural and Biological Sciences Ecology, Evolution, Behavior and Systematics
Preview
Cluster analysis for two-level data sets: Classifying tree species from individual measurements
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