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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...
ICIAR
2005
Springer
16 years 21 days ago
Estimating the Natural Number of Classes on Hierarchically Clustered Multi-spectral Images
Image classification is often used to extract information from multi-spectral satellite images. Unsupervised methods can produce results well adjusted to the data, but that are us...
André R. S. Marçal, Janete S. Borges
EUROPAR
2008
Springer
15 years 9 months ago
Mapping Heterogeneous Distributed Applications on Clusters
Performance of distributed applications largely depends on the mapping of their components on the underlying architecture. On one mponent-based approaches provide an abstraction su...
Sylvain Jubertie, Emmanuel Melin, Jér&eacut...
JSW
2007
96views more  JSW 2007»
15 years 7 months ago
IP-based Clustering for Peer-to-Peer Overlays
— The efficiency of overlay networks built on top of the IP network is often threatened by the mismatch between the topologies of the overlay and the underlying IP network, resu...
Piotr Karwaczynski, Jaka Mocnik
IS
2010
15 years 5 months ago
DB-SMoT: A direction-based spatio-temporal clustering method
—Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed ...
Jose Antonio M. R. Rocha, Valéria Ces&aacut...