50 search results - page 1 / 10 » Dirichlet Process Based Evolutionary Clustering |
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
ICPR
2010
IEEE
13 years 8 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...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...