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» Significance-Driven Graph Clustering
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ICPP
2009
IEEE
15 years 7 months ago
SkipStream: A Clustered Skip Graph Based On-demand Streaming Scheme over Ubiquitous Environments
Providing continuous on-demand streaming services with VCR functionality over ubiquitous environments is challenging due to the stringent QoS requirements of streaming service as ...
Qifeng Yu, Tianyin Xu, Baoliu Ye, Sanglu Lu, Daoxu...
114
Voted
ECML
2004
Springer
15 years 6 months ago
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering
This work presents a novel procedure for computing (1) distances between nodes of a weighted, undirected, graph, called the Euclidean Commute Time Distance (ECTD), and (2) a subspa...
Marco Saerens, François Fouss, Luh Yen, Pie...
97
Voted
IFIP12
2007
15 years 2 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters
ALT
2008
Springer
15 years 9 months ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster
101
Voted
WG
2007
Springer
15 years 6 months ago
On Finding Graph Clusterings with Maximum Modularity
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
Ulrik Brandes, Daniel Delling, Marco Gaertler, Rob...