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FSTTCS
2009
Springer
14 years 2 months ago
Bounded Size Graph Clustering with Applications to Stream Processing
We introduce a graph clustering problem motivated by a stream processing application. Input to our problem is an undirected graph with vertex and edge weights. A cluster is a subse...
Rohit Khandekar, Kirsten Hildrum, Sujay Parekh, De...
VIP
2000
13 years 11 months ago
A System for Graph Clustering Based on User Hints
This paper presents a system for graph clustering where users can visualize the clustering and give "hints" that help a computing method to find better solutions. Hints ...
Hugo A. D. do Nascimento, Peter Eades
DMIN
2006
151views Data Mining» more  DMIN 2006»
13 years 11 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain
SDM
2008
SIAM
120views Data Mining» more  SDM 2008»
13 years 11 months ago
Spatial Scan Statistics for Graph Clustering
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
Bei Wang, Jeff M. Phillips, Robert Schreiber, Denn...
PR
2008
170views more  PR 2008»
13 years 9 months ago
Annealing and the normalized N-cut
We describe an annealing procedure that computes the normalized N-cut of a weighted graph G. The first phase transition computes the solution of the approximate normalized 2-cut p...
Tomás Gedeon, Albert E. Parker, Collette Ca...