The gap test: an optimal method for determining the number of natural classes in cluster analysis

Jean-Paul Rasson, Tite Nahimana Kubushishi

Research output: Contribution in Book/Catalog/Report/Conference proceedingChapter

Original languageFrench
Title of host publicationNew Approaches in classification and Data Analysis
Pages186-193
Number of pages8
Publication statusPublished - 1994

Cite this

Rasson, J-P., & Kubushishi, T. N. (1994). The gap test: an optimal method for determining the number of natural classes in cluster analysis. In New Approaches in classification and Data Analysis (pp. 186-193)
Rasson, Jean-Paul ; Kubushishi, Tite Nahimana. / The gap test: an optimal method for determining the number of natural classes in cluster analysis. New Approaches in classification and Data Analysis. 1994. pp. 186-193
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Rasson, J-P & Kubushishi, TN 1994, The gap test: an optimal method for determining the number of natural classes in cluster analysis. in New Approaches in classification and Data Analysis. pp. 186-193.

The gap test: an optimal method for determining the number of natural classes in cluster analysis. / Rasson, Jean-Paul; Kubushishi, Tite Nahimana.

New Approaches in classification and Data Analysis. 1994. p. 186-193.

Research output: Contribution in Book/Catalog/Report/Conference proceedingChapter

TY - CHAP

T1 - The gap test: an optimal method for determining the number of natural classes in cluster analysis

AU - Rasson, Jean-Paul

AU - Kubushishi, Tite Nahimana

N1 - Publication editors : Springer-Verlag

PY - 1994

Y1 - 1994

M3 - Chapitre

SP - 186

EP - 193

BT - New Approaches in classification and Data Analysis

ER -

Rasson J-P, Kubushishi TN. The gap test: an optimal method for determining the number of natural classes in cluster analysis. In New Approaches in classification and Data Analysis. 1994. p. 186-193