DocumentCode
3223919
Title
A probabilistic estimate of clustering
Author
Brailovsky, Victor L.
Author_Institution
Sch. of Math. Sci., Tel Aviv Univ., Ramat Aviv, Israel
Volume
i
fYear
1990
fDate
16-21 Jun 1990
Firstpage
953
Abstract
The concept of probabilistic estimate of clustering (PEC) is introduced. It is based on the examination of an ensemble of clustering problems, in addition to the one given, and the estimation of the probability of obtaining clustering of better quality than that achieved for the given problem. Some properties of PEC and experimental results are presented
Keywords
estimation theory; pattern recognition; picture processing; probability; clustering; pattern recognition; picture processing; probabilistic estimate; probability; Clustering algorithms; Data analysis; Fluctuations; Organizing; Probability distribution; Thumb;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location
Atlantic City, NJ
Print_ISBN
0-8186-2062-5
Type
conf
DOI
10.1109/ICPR.1990.118247
Filename
118247
Link To Document