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UAI
1993
15 years 3 months ago
Utility-Based Abstraction and Categorization
Based Abstraction and Categorization Eric J. Horvitz∗ and Adrian C. Klein Palo Alto Laboratory Rockwell International Science Center 444 High Street Palo Alto, CA 94301 We take ...
Eric Horvitz, Adrian Klein
IEEEICCI
2009
IEEE
15 years 8 months ago
An attribute reduction approach and its accelerated version for hybrid data
In practical issues, categorical data and numerical data usually coexist, and a unified data reduction technique for hybrid data is desirable. In this paper, an information measu...
Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang
117
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INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
15 years 11 days ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...
IJCNLP
2004
Springer
15 years 7 months ago
A Study of Semi-discrete Matrix Decomposition for LSI in Automated Text Categorization
Abstract. This paper proposes the use of Latent Semantic Indexing (LSI) techniques, decomposed with semi-discrete matrix decomposition (SDD) method, for text categorization. The SD...
Qiang Wang, Xiaolong Wang, Guan Yi
ALENEX
2008
142views Algorithms» more  ALENEX 2008»
15 years 3 months ago
Consensus Clustering Algorithms: Comparison and Refinement
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
Andrey Goder, Vladimir Filkov