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DAWAK
2004
Springer
14 years 3 months ago
Categorical Data Visualization and Clustering Using Subjective Factors
Clustering is an important data mining problem. However, most earlier work on clustering focused on numeric attributes which have a natural ordering to their attribute values. Rec...
Chia-Hui Chang, Zhi-Kai Ding
FLAIRS
2000
13 years 11 months ago
Graph-Based Hierarchical Conceptual Clustering
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
ICPR
2008
IEEE
14 years 4 months ago
Multi-stage branch-and-bound for maximum variance disparity clustering
A split-and-merge framework based on a maximum variance criterion is proposed for disparity clustering. The proposed algorithm transforms low-level stereo disparity information to...
Ninad Thakoor, Venkat Devarajan, Jean Gao
ICPR
2008
IEEE
14 years 4 months ago
Spectral aggregation for clustering ensemble
Since a large number of clustering algorithms exist, aggregating different clustered partitions into a single consolidated one to obtain better results has become an important pro...
Xi Wang, Chunyu Yang, Jie Zhou
IPPS
2003
IEEE
14 years 3 months ago
A Message Passing Interface Library for Inhomogeneous Coupled Clusters
Clusters of PC containing mostly general purpose hardware have become more and more usable for high performance computing tasks in the past few years. Clustering existing systems ...
Martin Pöppe, Silke Schuch, Thomas Bemmerl