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ADHOCNETS
2009
Springer
15 years 10 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. ...
139
Voted
PR
2008
116views more  PR 2008»
15 years 3 months ago
Robust path-based spectral clustering
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Hong Chang, Dit-Yan Yeung
139
Voted
PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
15 years 1 months ago
Nonparametric Bayesian Clustering Ensembles
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...
147
Voted
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 9 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
121
Voted
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 9 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann