14 search results - page 2 / 3 » Model Selection and Stability in k-means Clustering |
NIPS
2008
14 years 8 days ago
2008
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
PR
2008
13 years 10 months ago
2008
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
MLDM
2005
Springer
14 years 4 months ago
2005
Springer
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
BMCBI
2006
13 years 11 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
WIMOB
2008
IEEE
14 years 5 months ago
2008
IEEE
—To avoid the single point of failure for the certificate authority (CA) in MANET, a decentralized solution is proposed where nodes are grouped into different clusters. Each clu...