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LWA
2007
13 years 12 months ago
Multi-objective Frequent Termset Clustering
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
Andreas Kaspari, Michael Wurst
TKDE
2008
115views more  TKDE 2008»
13 years 10 months ago
A Niching Memetic Algorithm for Simultaneous Clustering and Feature Selection
Clustering is inherently a difficult task and is made even more difficult when the selection of relevant features is also an issue. In this paper, we propose an approach for simult...
Weiguo Sheng, Xiaohui Liu, Michael C. Fairhurst
SDM
2004
SIAM
253views Data Mining» more  SDM 2004»
13 years 11 months ago
Density-Connected Subspace Clustering for High-Dimensional Data
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
Peer Kröger, Hans-Peter Kriegel, Karin Kailin...
IPPS
2010
IEEE
13 years 8 months ago
Large-scale multi-dimensional document clustering on GPU clusters
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas...
ELPUB
2003
ACM
14 years 3 months ago
Practical Approach to Automatic Text Summarization
s and that of abstracts generated automatically. Despite highly promising results achieved by luation, readability of abstracts must be further improved by integrating additional h...
Jiri Hynek, Karel Jezek