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NIPS
2004
15 years 8 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
CSDA
2010
105views more  CSDA 2010»
15 years 6 months ago
James-Stein shrinkage to improve k-means cluster analysis
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
Jinxin Gao, David B. Hitchcock
KES
2006
Springer
15 years 6 months ago
Predicting Cluster Formation in Decentralized Sensor Grids
This paper investigates cluster formation in decentralized sensor grids and focusses on predicting when the cluster formation converges to a stable configuration. The traffic volum...
Astrid Zeman, Mikhail Prokopenko
FGCS
2002
94views more  FGCS 2002»
15 years 6 months ago
Cluster file systems: a case study
Traditional distributed file systems do not provide clusters with strict single-system image, and cannot fully meet the cluster applications requirements, such as I/O performance,...
Jianyong Wang, Zhiwei Xu
DATAMINE
1999
113views more  DATAMINE 1999»
15 years 6 months ago
A Fast Parallel Clustering Algorithm for Large Spatial Databases
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
Xiaowei Xu, Jochen Jäger, Hans-Peter Kriegel