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» A clustering method that uses lossy aggregation of data
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FLAIRS
2004
13 years 9 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
PKDD
2004
Springer
138views Data Mining» more  PKDD 2004»
14 years 1 months ago
Combining Multiple Clustering Systems
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
Constantinos Boulis, Mari Ostendorf
GFKL
2004
Springer
117views Data Mining» more  GFKL 2004»
14 years 1 months ago
Cluster Ensembles
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package˜c...
Kurt Hornik
TKDE
2008
111views more  TKDE 2008»
13 years 7 months ago
Text Clustering with Feature Selection by Using Statistical Data
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Yanjun Li, Congnan Luo, Soon M. Chung
CN
2008
163views more  CN 2008»
13 years 7 months ago
Loss-resilient window-based congestion control
This paper addresses the problem of fair allocation of bandwidth resources on lossy channels in hybrid heterogeneous networks. It discusses more particularly the ability of window...
Christophe De Vleeschouwer, Pascal Frossard