3934 search results - page 127 / 787 » A monothetic clustering method |
83
Voted
INFORMATICALT
2002
15 years 10 days ago
2002
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
125
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COST
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. There are considerable differences among infants in the quality of interaction with their parents. These differences depend especially on the infants development which af...
114
Voted
CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
We address the problem of robust clustering by combining data partitions (forming a clustering ensemble) produced by multiple clusterings. We formulate robust clustering under an ...
101
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
103
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...