8 search results - page 1 / 2 » Sharing Clusters among Related Groups: Hierarchical Dirichle... |
NIPS
2004
13 years 6 months ago
2004
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
MSV
2004
13 years 6 months ago
2004
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
EVOW
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
EDBT
2004
ACM
14 years 4 months ago
2004
ACM
Peer-to-peer (P2P) systems are gaining increasing popularity as a scalable means to share data among a large number of autonomous nodes. In this paper, we consider the case in whic...