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PKDD
2010
Springer
177views Data Mining» more  PKDD 2010»
15 years 4 months ago
ITCH: Information-Theoretic Cluster Hierarchies
Hierarchical clustering methods are widely used in various scientific domains such as molecular biology, medicine, economy, etc. Despite the maturity of the research field of hie...
Christian Böhm, Frank Fiedler, Annahita Oswal...
KDD
2001
ACM
152views Data Mining» more  KDD 2001»
16 years 6 months ago
A scalable algorithm for clustering protein sequences
Valerie Guralnik, George Karypis
AMC
2008
73views more  AMC 2008»
15 years 6 months ago
Parallel algorithm for the solutions of PDEs in linux clustered workstations
In this paper we propose parallel algorithm for the solution of partial differential equations over a rectangular domain using the Crank
Feras A. Mahmoud, Mohammad H. Al-Towaiq
CJ
2010
128views more  CJ 2010»
15 years 6 months ago
A Self-Stabilizing O(k)-Time k-Clustering Algorithm
A silent self-stabilizing asynchronous distributed algorithms is given for constructing a kdominating set, and hence a k-clustering, of a connected network of processes with uniqu...
Ajoy Kumar Datta, Lawrence L. Larmore, Priyanka Ve...
FLAIRS
2000
15 years 7 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