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INFORMATICALT
2002
136views more  INFORMATICALT 2002»
15 years 5 months ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius
ESANN
2007
15 years 7 months ago
Feature clustering and mutual information for the selection of variables in spectral data
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
Catherine Krier, Damien François, Fabrice R...
CCGRID
2008
IEEE
16 years 8 days ago
Clustered Workflow Execution of Retargeted Data Analysis Scripts
Daniel L. Wang, Charles S. Zender, Stephen F. Jenk...
ADHOCNETS
2009
Springer
16 years 12 days ago
Optimal Cluster Sizes for Wireless Sensor Networks: An Experimental Analysis
Node clustering and data aggregation are popular techniques to reduce energy consumption in large WSNs and a large body of literature has emerged describing various clustering prot...
Anna Förster, Alexander Förster, Amy L. ...
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ACL
1993
15 years 7 months ago
Distributional Clustering of English Words
We describe and evaluate experimentally a method for clustering words according to their distribution in particular syntactic contexts. Words are represented by the relative frequ...
Fernando C. N. Pereira, Naftali Tishby, Lillian Le...