163 search results - page 5 / 33 » Incremental Mixture Learning for Clustering Discrete Data |
SADM
2010
13 years 2 months ago
2010
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
NIPS
2003
13 years 8 months ago
2003
We propose a functional mixture model for simultaneous clustering and alignment of sets of curves measured on a discrete time grid. The model is specifically tailored to gene exp...
NIPS
2004
13 years 8 months ago
2004
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
JMLR
2000
13 years 7 months ago
2000
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...