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» An overview of clustering methods
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ICML
2006
IEEE
16 years 7 months ago
Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution
The Dirichlet compound multinomial (DCM) distribution, also called the multivariate Polya distribution, is a model for text documents that takes into account burstiness: the fact ...
Charles Elkan
ICCD
2003
IEEE
145views Hardware» more  ICCD 2003»
16 years 3 months ago
Care Bit Density and Test Cube Clusters: Multi-Level Compression Opportunities
: Most of the recently discussed and commercially introduced test stimulus data compression techniques are based on low care bit densities found in typical scan test vectors. Data ...
Bernd Könemann
IRI
2008
IEEE
16 years 1 months ago
Compound record clustering algorithm for design pattern detection by decision tree learning
Recovering design patterns applied in a system can help refactoring the system. Machine learning algorithms have been successfully applied in mining data patterns. However, one of...
Jing Dong, Yongtao Sun, Yajing Zhao
VTC
2008
IEEE
103views Communications» more  VTC 2008»
16 years 1 months ago
On Parameter Estimation for Ultra-Wideband Channels with Clustering Phenomenon
— One of the unique characteristics of ultra-wideband channels is the clustering phenomenon resolved by the ultra-wide signal bandwidth. Channel structures extended from the Sale...
Wei-De Wu, Chung-Hsuan Wang, Chi-Chao Chao, Klaus ...
MLDM
2005
Springer
16 years 8 days ago
Linear Manifold Clustering
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
Robert M. Haralick, Rave Harpaz