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SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
15 years 1 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
HT
1997
ACM
15 years 4 months ago
Collective Phenomena in Hypertext Networks
A large hypertext net with node-to-node links can be interesting as a system of unities of meaning formed by node clusters, such that nodes in each of them are orderable into a co...
Valery M. Chelnokov, Victoria L. Zephyrova
GECCO
2004
Springer
121views Optimization» more  GECCO 2004»
15 years 5 months ago
Network Intrusion Detection Using Genetic Clustering
Abstract. We apply the Unsupervised Niche Clustering (UNC), a genetic niching technique for robust and unsupervised clustering, to the intrusion detection problem. Using the normal...
Elizabeth Leon, Olfa Nasraoui, Jonatan Góme...
NN
2006
Springer
105views Neural Networks» more  NN 2006»
14 years 11 months ago
Unfolding preprocessing for meaningful time series clustering
Clustering methods are commonly applied to time series, either as a preprocessing stage for other methods or in their own right. In this paper it is explained why time series clus...
Geoffroy Simon, John Aldo Lee, Michel Verleysen
PDPTA
2007
15 years 1 months ago
Multiple Networks for Heterogeneous Distributed Applications
Abstract - We have experienced in our distributed applications that the network is the main limiting factor for performances on clusters. Indeed clusters are cheap and it is easier...
Sylvain Jubertie, Emmanuel Melin