Sciweavers

8776 search results - page 106 / 1756
» Robust Data Clustering
Sort
View
118
Voted
INFORMATICALT
2002
136views more  INFORMATICALT 2002»
15 years 4 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
146
Voted
JCS
2006
118views more  JCS 2006»
15 years 5 months ago
Enforcing Robust Declassification and Qualified Robustness
Noninterference requires that there is no information flow from sensitive to public data in a given system. However, many systems release sensitive information as part of their in...
Andrew C. Myers, Andrei Sabelfeld, Steve Zdancewic
130
Voted
ESANN
2007
15 years 6 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
15 years 11 months ago
Clustered Workflow Execution of Retargeted Data Analysis Scripts
Daniel L. Wang, Charles S. Zender, Stephen F. Jenk...
ADHOCNETS
2009
Springer
15 years 11 months 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. ...