961 search results - page 10 / 193 » Significance-Driven Graph Clustering |
AIRS
2006
Springer
13 years 11 months ago
2006
Springer
Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/...
GD
2005
Springer
14 years 27 days ago
2005
Springer
A clustered graph has its vertices grouped into clusters in a hierarchical way via subset inclusion, thereby imposing a tree structure on the clustering relationship. The c-planari...
KDD
2012
ACM
11 years 9 months ago
2012
ACM
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
CAIP
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. In this paper, we introduce a prototype-based clustering algorithm dealing with graphs. We propose a hypergraph-based model for graph data sets by allowing clusters overl...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...