961 search results - page 1 / 193 » Significance-Driven Graph Clustering |
AAIM
2007
Springer
13 years 8 months ago
2007
Springer
Abstract. Modularity, the recently defined quality measure for clusterings, has attained instant popularity in the fields of social and natural sciences. We revisit the rationale b...
IJON
2010
13 years 2 months ago
2010
This paper proposes an organized generalization of Newman and Girvan’s modularity measure for graph clustering. Optimized via a deterministic annealing scheme, this measure prod...
WG
2010
Springer
13 years 2 months ago
2010
Springer
Cluster Editing is a classical graph theoretic approach to tackle the problem of data set clustering: it consists of modifying a similarity graph into a disjoint union of cliques,...
JDA
2010
13 years 2 months ago
2010
: Hierarchical graphs are graphs with layering structures; clustered graphs are graphs with recursive clustering structures. Both have applications in VLSI design, CASE tools, soft...
PVLDB
2010
13 years 2 months ago
2010
The identification of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ...