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IPM
2006
151views more  IPM 2006»
15 years 7 months ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
ACSC
2005
IEEE
16 years 21 days ago
The Geodesic Self-Organizing Map and Its Error Analysis
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Yingxin Wu, Masahiro Takatsuka
INFORMATICALT
2002
107views more  INFORMATICALT 2002»
15 years 6 months ago
Comparative Analysis of the Graphical Result Presentation in the SOM Software
In the paper, we analyze the software that realizes the self-organizing maps: SOM-PAK, SOM-TOOLBOX, Viscovery SOMine, Nenet, and two academic systems. Most of the software may be f...
Gintautas Dzemyda, Olga Kurasova
IPTPS
2005
Springer
16 years 17 days ago
Clustering in P2P Exchanges and Consequences on Performances
— We propose here an analysis of a rich dataset which gives an exhaustive and dynamic view of the exchanges processed in a running eDonkey system. We focus on correlation in term...
Stevens Le-Blond, Jean-Loup Guillaume, Matthieu La...
GIS
2008
ACM
16 years 8 months ago
Efficient data modeling and querying system for multi-dimensional spatial data
Multi-dimensional spatial data are obtained when a number of data acquisition devices are deployed at different locations to measure a certain set of attributes of the study subje...
Wei Li, Cindy X. Chen