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IPM
2006
151views more  IPM 2006»
15 years 6 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 5 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 1 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 7 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