1451 search results - page 43 / 291 » A Clustering Based Niching Method for Evolutionary Algorithm... |
ERCIMDL
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. With the rapid development of on-line information services, information technologies for on-line information processing have been receiving much attention recently. Clust...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
ACIVS
2008
Springer
15 years 4 months ago
2008
Springer
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...