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» Clustering with Multiple Graphs
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ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
15 years 1 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich
151
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CATS
2006
15 years 4 months ago
On the Approximability of Maximum and Minimum Edge Clique Partition Problems
We consider the following clustering problems: given a general undirected graph, partition its vertices into disjoint clusters such that each cluster forms a clique and the number...
Anders Dessmark, Jesper Jansson, Andrzej Lingas, E...
CIDM
2009
IEEE
15 years 8 months ago
An architecture and algorithms for multi-run clustering
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadee...
150
Voted
IV
2009
IEEE
128views Visualization» more  IV 2009»
15 years 10 months ago
Large Quasi-Tree Drawing: A Neighborhood Based Approach
In this paper, we present an algorithm to lay out a particular class of graphs coming from real case studies: the quasi-tree graph class. Protein and internet mappings projects ha...
Romain Bourqui, David Auber
GBRPR
2009
Springer
15 years 10 months ago
Graph Matching Based on Node Signatures
We present an algorithm for graph matching in a pattern recognition context. This algorithm deals with weighted graphs, based on new structural and topological node signatures. Usi...
Salim Jouili, Salvatore Tabbone