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NN
2006
Springer
105views Neural Networks» more  NN 2006»
15 years 6 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
INFOVIS
2003
IEEE
16 years 2 days ago
Multiscale Visualization of Small World Networks
Many networks under study in Information Visualization are “small world” networks. These networks first appeared in the study social networks and were shown to be relevant mod...
David Auber, Yves Chiricota, Fabien Jourdan, Guy M...
JSW
2007
106views more  JSW 2007»
15 years 6 months ago
Destabilization of Terrorist Networks through Argument Driven Hypothesis Model
— Social network analysis has been used for quite some time to analyze and understand the behavior of nodes in the network. Theses nodes could be individuals or group of persons,...
Dil Muhammad Akbar Hussain
ANNPR
2010
Springer
16 years 1 months ago
Cluster Analysis of Cortical Pyramidal Neurons Using SOM
Abstract. A cluster analysis using SOM has been performed on morphological data derived from pyramidal neurons of the somatosensory cortex of normal and transgenic mice.
Andreas Schierwagen, Thomas Villmann, Alán ...
P2P
2007
IEEE
117views Communications» more  P2P 2007»
16 years 1 months ago
Peer-to-Peer Rating
This paper proposes to utilize algorithms from the probabilistic graphical models domain for Peer-to-Peer rating of data items and for computing “social influence” of nodes i...
Danny Bickson, Dahlia Malkhi, Lidong Zhou