3068 search results - page 118 / 614 » Clustering with Multiple Graphs |
123
Voted
DATAMINE
1999
15 years 3 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,...
146
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ADMA
2009
Springer
15 years 10 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...
140
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ADBIS
2007
Springer
2007
Springer
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
15 years 10 months 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...
138
Voted
SDM
2009
SIAM
16 years 29 days 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...
136
Voted
CSL
2008
Springer
15 years 5 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...