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ICPR
2008
IEEE
14 years 11 months ago
Geodesic K-means clustering
We introduce a class of geodesic distances and extend the K-means clustering algorithm to employ this distance metric. Empirically, we demonstrate that our geodesic K-means algori...
Arian Maleki, Nima Asgharbeygi
CLUSTER
2003
IEEE
14 years 3 months ago
Performance Analysis of Java Message-Passing Libraries on Fast Ethernet, Myrinet and SCI Clusters
The use of Java for parallel programming on clusters according to the message-passing paradigm is an attractive choice. In this case, the overall application performance will larg...
Guillermo L. Taboada, Juan Touriño, Ramon D...
CIARP
2003
Springer
14 years 3 months ago
Extended Star Clustering Algorithm
Abstract. In this paper we propose the extended star clustering algorithm and compare it with the original star clustering algorithm. We introduce a new concept of star and as a co...
Reynaldo Gil-García, José Manuel Bad...
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
ENGL
2007
92views more  ENGL 2007»
13 years 10 months ago
K-Mutual Nearest Neighbour Approach for Clustering Two-Dimensional Shapes Described by Fuzzy-Symbolic Features
Abstract— In this paper, a new method of representing twodimensional shapes using fuzzy-symbolic features and a similarity measure defined over fuzzy-symbolic features useful for...
H. S. Nagendraswamy, D. S. Guru