NASA NTRS · 19800007234
On evaluating clustering procedures for use in classification
Abstract
The problem of evaluating clustering algorithms and their respective computer programs for use in a preprocessing step for classification is addressed. In clustering for classification the probability of correct classification is suggested as the ultimate measure of accuracy on training data. A means of implementing this criterion and a measure of cluster purity are discussed. Examples are given. A procedure for cluster labeling that is based on cluster purity and sample size is presented.
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Pore, M. D., Moritz, T. E., Register, D. T., Yao, S. S., Eppler, W. G.. 1979-07-01. On evaluating clustering procedures for use in classification. https://ntrs.nasa.gov/citations/19800007234
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