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» Clustering with Multiple Graphs
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WAW
2007
Springer
162views Algorithms» more  WAW 2007»
15 years 6 months ago
Random Dot Product Graph Models for Social Networks
Inspired by the recent interest in combining geometry with random graph models, we explore in this paper two generalizations of the random dot product graph model proposed by Kraet...
Stephen J. Young, Edward R. Scheinerman
IV
2006
IEEE
127views Visualization» more  IV 2006»
15 years 6 months ago
Fisheye Tree Views and Lenses for Graph Visualization
We present interactive visual aids to support the exploration and navigation of graph layouts. They include Fisheye Tree Views and Composite Lenses. These views provide, in an int...
Christian Tominski, James Abello, Frank van Ham, H...
91
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SOCIALCOM
2010
14 years 10 months ago
Graph Comparison Using Fine Structure Analysis
We introduce a novel technique for comparing graphs using the structure of their subgraphs, which we call a graph's fine structure. Our technique compares graphs using the ear...
Owen Macindoe, Whitman Richards
RECOMB
2008
Springer
16 years 26 days ago
Computation of Median Gene Clusters
Whole genome comparison based on gene order has become a popular approach in comparative genomics. An important task in this field is the detection of gene clusters, i.e. sets of g...
Sebastian Böcker, Katharina Jahn, Julia Mixta...
JMMA
2010
162views more  JMMA 2010»
14 years 7 months ago
Co-clustering Documents and Words by Minimizing the Normalized Cut Objective Function
This paper follows a word-document co-clustering model independently introduced in 2001 by several authors such as I.S. Dhillon, H. Zha and C. Ding. This model consists in creatin...
Charles-Edmond Bichot