TY - JOUR
T1 - A probabilistic approach to clustering
AU - Brailovsky, Victor L.
PY - 1991/4
Y1 - 1991/4
N2 - The probabilistic approach to clustering, suggested in the paper, is based on examination of an ensemble of clustering problems, in addition to the one given, and estimation of the probability of obtaining clustering of better quality than achieved for the given problem. A Probabilistic Estimate of Clustering is introduced and some of its properties are presented. Some experimental results illustrate the efficiency of the suggested approach.
AB - The probabilistic approach to clustering, suggested in the paper, is based on examination of an ensemble of clustering problems, in addition to the one given, and estimation of the probability of obtaining clustering of better quality than achieved for the given problem. A Probabilistic Estimate of Clustering is introduced and some of its properties are presented. Some experimental results illustrate the efficiency of the suggested approach.
KW - Cluster
KW - Monte-Carlo method
KW - cluster validity
KW - probabilistic estimate
KW - selection of best clustering
UR - http://www.scopus.com/inward/record.url?scp=0026044210&partnerID=8YFLogxK
U2 - 10.1016/0167-8655(91)90031-G
DO - 10.1016/0167-8655(91)90031-G
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AN - SCOPUS:0026044210
SN - 0167-8655
VL - 12
SP - 193
EP - 198
JO - Pattern Recognition Letters
JF - Pattern Recognition Letters
IS - 4
ER -