Numerical classification of proximity data with assignment measures
Journal of ClassificationPublished 1 December 1985
Michael P. Windham
Citations102
SJR quartileQ1
SJR score0.71
SNIP1.33
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TL;DR
An approach to numerical classification is described, which treats the assignment of objects to types as a continuous variable, called an assignment measure, and the Assignment-Prototype algorithm, a numerical technique for obtaining assignment measures directly from one-mode, two-way proximity matrices.
Abstract
Numerical classification, Cluster analysis, Assignment measures, Proximity data, Dissimilarity data, Assignment-Prototype Algorithm,
Keywords
Computer Science
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