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A Method for Cluster Analysis

Authors: A W, EDWARDS; L L, CAVALLI-SFORZA;

A Method for Cluster Analysis

Abstract

A method for investigating the relation of points in multidimensional space is described. Using an analysis of variance technique, the points are divided into the two most-compact clusters, and the pTocess repeated sequentially so that a tree diagram is formed. It is pointed out that the method is well suited to electronic computing. The application of the method to problems of classification is stressed, and numerical examples are given of applications in the analysis of chromosome patterns in cells. (C.H.)

Keywords

Biometry, Bacteria, Cluster Analysis, Classification, Chromosomes, Ethnology

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
425
Top 0.1%
Top 0.01%
Top 10%
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