111 search results - page 2 / 23 » On Modularity Clustering |
WEA
2010
Springer
13 years 10 months ago
2010
Springer
Maximizing the quality index modularity has become one of the primary methods for identifying the clustering structure within a graph. As contemporary networks are not static but e...
ACMSE
2007
ACM
13 years 9 months ago
2007
ACM
Modularity, hierarchy, and interaction locality are general approaches to reducing the complexity of any large system. A widely used principle in achieving these goals in designin...
NAACL
2003
13 years 6 months ago
2003
The QCS information retrieval (IR) system is presented as a tool for querying, clustering, and summarizing document sets. QCS has been developed as a modular development framework...
ISDA
2006
IEEE
13 years 11 months ago
2006
IEEE
The use of monolithic neural networks (such as a multilayer perceptron) has some drawbacks: e.g. slow learning, weight coupling, the black box effect. These can be alleviated by t...
IDEAL
2000
Springer
13 years 9 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...