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ICPR
2008
IEEE
16 years 5 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
149
Voted
CLUSTER
2003
IEEE
15 years 9 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
15 years 9 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
15 years 5 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»
15 years 4 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