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» Geometric Clustering Using the Information Bottleneck Method
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ECML
2006
Springer
15 years 6 months ago
Cascade Evaluation of Clustering Algorithms
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
PAKDD
2009
ACM
186views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Pairwise Constrained Clustering for Sparse and High Dimensional Feature Spaces
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
Su Yan, Hai Wang, Dongwon Lee, C. Lee Giles
DEXA
2007
Springer
140views Database» more  DEXA 2007»
15 years 10 months ago
Clustering-Based K-Anonymisation Algorithms
Abstract. K-anonymisation is an approach to protecting private information contained within a dataset. Many k-anonymisation methods have been proposed recently and one class of suc...
Grigorios Loukides, Jianhua Shao
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 4 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ICCBR
2007
Springer
15 years 10 months ago
Mining Large-Scale Knowledge Sources for Case Adaptation Knowledge
Abstract. Making case adaptation practical is a longstanding challenge for casebased reasoning. One of the impediments to widespread use of automated case adaptation is the adaptat...
David B. Leake, Jay H. Powell