68 search results - page 7 / 14 » Model-based clustering for longitudinal data |
KDD
2005
ACM
14 years 7 months ago
2005
ACM
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
ICDM
2002
IEEE
14 years 8 days ago
2002
IEEE
In this paper, we devise an efficient algorithm for clustering market-basket data. Different from those of the traditional data, the features of market-basket data are known to b...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
—In Dirichlet process (DP) mixture models, the number of components is implicitly determined by the sampling parameters of Dirichlet process. However, this kind of models usually...
SETN
2004
Springer
14 years 20 days ago
2004
Springer
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
ML
2002
ACM
13 years 7 months ago
2002
ACM
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...