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» On the Performance of Clustering in Hilbert Spaces
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ISICA
2007
Springer
15 years 4 months ago
Instant Message Clustering Based on Extended Vector Space Model
Instant intercommunion techniques such as Instant Messaging (IM) are widely popularized. Aiming at such kind of large scale masscommunication media, clustering on its text conte...
Le Wang, Yan Jia, Weihong Han
ICML
2006
IEEE
15 years 11 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
LCPC
2007
Springer
15 years 4 months ago
Supporting Huge Address Spaces in a Virtual Machine for Java on a Cluster
Abstract. To solve problems that require far more memory than a single machine can supply, data can be swapped to disk in some manner, it can be compressed, and/or the memory of mu...
Ronald Veldema, Michael Philippsen
COLT
2010
Springer
14 years 8 months ago
Efficient Classification for Metric Data
Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as ...
Lee-Ad Gottlieb, Leonid Kontorovich, Robert Krauth...
CORR
2010
Springer
219views Education» more  CORR 2010»
14 years 10 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...