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» A Search Algorithm for Clusters in a Network or Graph
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 6 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
COMAD
2009
13 years 7 months ago
Graph Clustering for Keyword Search
Keyword search on data represented as graphs, is receiving lot of attention in recent years. Initial versions of keyword search systems assumed that the graph is memory resident. ...
Rose Catherine K., S. Sudarshan
JDA
2010
131views more  JDA 2010»
13 years 4 months ago
Convex drawings of hierarchical planar graphs and clustered planar graphs
: Hierarchical graphs are graphs with layering structures; clustered graphs are graphs with recursive clustering structures. Both have applications in VLSI design, CASE tools, soft...
Seok-Hee Hong, Hiroshi Nagamochi
IJON
2010
94views more  IJON 2010»
13 years 4 months ago
Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach
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...
Fabrice Rossi, Nathalie Villa-Vialaneix
INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
13 years 4 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...