CLUSTER: A hierarchical clustering program for large data sets (n>100)
Behavior Research MethodsPublished 1 September 1973Open access
Jay Levinsohn, Sandra G. Funk
Citations4
SJR quartileQ1
SJR score2.46
SNIP3.13
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TL;DR
CLUSTER is basically an extension of Veldrnan's (1967) HGROUP program, and utilizes Ward's (1963) hierarchical procedure of successively combining n objects together to form n, n 1, n 2, "', 2 groups by minimizing an objective error function.
Abstract
A Fig. 2. Examples of plotting with hidden line suppression.The same data are plotted in A and B. A shows plots with no horizontal offset, while B uses an offset of 10 units.Horizontal trace is 256 units.digital to analog capabilities, as well as in assembly or computer languages.
Keywords
Computer Science
Journal of the American Statistical AssociationHierarchical Grouping to Optimize an Objective Function
19,236 Citations1963Joe H. Ward
Journal of the American Statistical AssociationHierarchical Grouping to Optimize an Objective Function
3,231 Citations1963Joe H. Ward