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JMLR
2002
73views more  JMLR 2002»
15 years 4 months ago
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
We apply a variational method to automatically determine the number of mixtures of independent components in high-dimensional datasets, in which the sources may be nonsymmetricall...
Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
ICML
2008
IEEE
16 years 6 months ago
Statistical models for partial membership
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
Katherine A. Heller, Sinead Williamson, Zoubin Gha...
172
Voted
CIT
2004
Springer
15 years 10 months ago
Associativity Based Mobility-Adaptive K-Clustering in Mobile Ad-Hoc Networks
To solve the scalability issue of ad hoc network, a new cluster maintenance protocol is proposed. Clusters may change dynamically, reflecting the mobility of the underlying networ...
Chinnappan Jayakumar, Chenniappan Chellappan
BMVC
1998
15 years 6 months ago
A Method for Dynamic Clustering of Data
This paper describes a method for the segmentation of dynamic data. It extends well known algorithms developed in the context of static clustering (e.g., the c-means algorithm, Ko...
Arnaldo J. Abrantes, Jorge S. Marques
PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
15 years 11 months ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey