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» Engineering Comparators for Graph Clusterings
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JEA
2007
36views more  JEA 2007»
13 years 5 months ago
Engineering graph clustering: Models and experimental evaluation
Ulrik Brandes, Marco Gaertler, Dorothea Wagner
PVLDB
2010
151views more  PVLDB 2010»
13 years 3 months ago
Scalable Discovery of Best Clusters on Large Graphs
The identification of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ...
Kathy Macropol, Ambuj K. Singh
GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
13 years 10 months ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
14 years 5 months ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy
LAWEB
2003
IEEE
13 years 10 months ago
Clustering the Chilean Web
We perform a clustering of the Chilean Web Graph using a local fitness measure, optimized by simulated annealing, and compare the obtained cluster distribution to that of two mod...
Satu Virtanen