25041 search results - page 7 / 5009 » Algorithms for Clustering Data |
AIPRF
2008
13 years 9 months ago
2008
Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homo...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
FLAIRS
2007
13 years 10 months ago
2007
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
WEA
2004
Springer
14 years 1 months ago
2004
Springer
Clustering can be used to identify groups of similar solutions in Multimodal Optimisation. However, a poor clustering quality reduces the benefit of this application. The vast maj...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...