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» Clustering with Multiple Graphs
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112
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ALT
2009
Springer
16 years 22 days ago
Learning Unknown Graphs
Motivated by a problem of targeted advertising in social networks, we introduce and study a new model of online learning on labeled graphs where the graph is initially unknown and...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
127
Voted
GBRPR
2009
Springer
15 years 8 months ago
A Recursive Embedding Approach to Median Graph Computation
The median graph has been shown to be a good choice to infer a representative of a set of graphs. It has been successfully applied to graph-based classification and clustering. Ne...
Miquel Ferrer, Dimosthenis Karatzas, Ernest Valven...
130
Voted
KES
2008
Springer
15 years 3 months ago
Readable Representations for Large-Scale Bipartite Graphs
Bipartite graphs appear in various scenes in the real world, and visualizing these graphs helps improve our understanding of network structures. The amount of information that is a...
Shuji Sato, Kazuo Misue, Jiro Tanaka
105
Voted
WWW
2007
ACM
16 years 4 months ago
A clustering method for web data with multi-type interrelated components
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
148
Voted
SSDBM
2007
IEEE
110views Database» more  SSDBM 2007»
15 years 10 months ago
On Exploring Complex Relationships of Correlation Clusters
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...
Elke Achtert, Christian Böhm, Hans-Peter Krie...