3068 search results - page 118 / 614 » Clustering with Multiple Graphs |
153
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DATAMINE
1999
15 years 6 months ago
1999
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
182
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ADMA
2009
Springer
16 years 1 months ago
2009
Springer
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
180
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ADBIS
2007
Springer
2007
Springer
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
16 years 17 days ago
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
165
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SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
173
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CSL
2008
Springer
15 years 8 months ago
2008
Springer
We give a graph theoretical criterion on multiplicative additive linear logic (MALL) cut-free proof structures that exactly characterizes those whose interpretation is a hypercliqu...