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CIS
2008
Springer
15 years 8 months ago
Cooperation Controlled Competitive Learning Approach for Data Clustering
Rival Penalized Competitive Learning (RPCL) and its variants can perform clustering analysis efficiently with the ability of selecting the cluster number automatically. Although t...
Tao Li, Wenjiang Pei, Shao-ping Wang, Yiu-ming Che...
ICDE
2005
IEEE
132views Database» more  ICDE 2005»
16 years 11 days ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 7 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
VLDB
1998
ACM
204views Database» more  VLDB 1998»
15 years 11 months ago
Clustering Categorical Data: An Approach Based on Dynamical Systems
Wedescribea novel approachfor clustering collectionsof sets,andits applicationto theanalysis and mining of categoricaldata. By "categorical data," we meantableswith fiel...
David Gibson, Jon M. Kleinberg, Prabhakar Raghavan
DEXA
2009
Springer
172views Database» more  DEXA 2009»
15 years 10 months ago
Utilizing XML Clustering for Efficient XML Data Management on P2P Networks
Peer-to-Peer (P2P) data integration combines the P2P infrastructure with traditional scheme-based data integration techniques. Some of the primary problems in this research area ar...
Panagiotis Antonellis, Christos Makris, Nikos Tsir...