Sciweavers

366 search results - page 1 / 74
» Detecting the Number of Clusters in n-Way Probabilistic Clus...
Sort
View
PAMI
2010
228views more  PAMI 2010»
12 years 11 months ago
Detecting the Number of Clusters in n-Way Probabilistic Clustering
Zhaoshui He, Andrzej Cichocki, Shengli Xie, Kyuwan...
ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
13 years 2 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich
ACIVS
2008
Springer
13 years 11 months ago
Knee Point Detection in BIC for Detecting the Number of Clusters
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
Qinpei Zhao, Ville Hautamäki, Pasi Fränt...
NIPS
2004
13 years 6 months ago
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
Jian Zhang 0003, Zoubin Ghahramani, Yiming Yang
CVPR
2006
IEEE
14 years 6 months ago
Unsupervised Bayesian Detection of Independent Motion in Crowds
While crowds of various subjects may offer applicationspecific cues to detect individuals, we demonstrate that for the general case, motion itself contains more information than p...
Gabriel J. Brostow, Roberto Cipolla