1971 search results - page 65 / 395 » A clustering method that uses lossy aggregation of data |
JBI
2004
13 years 9 months ago
2004
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
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...
FQAS
2004
Springer
13 years 11 months ago
2004
Springer
In the context of relational as well as deductive databases, correct and efficient integrity checking is a crucial issue, as, without any guarantee of data consistency, the answers...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
AUSAI
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...