40 search results - page 8 / 8 » Incremental genetic K-means algorithm and its application in... |
IPSN
2004
Springer
13 years 10 months ago
2004
Springer
Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or functio...
JCST
2008
13 years 4 months ago
2008
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...
BMCBI
2010
13 years 5 months ago
2010
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
CIDM
2007
IEEE
13 years 11 months ago
2007
IEEE
— In recent applications of clustering such as gene expression microarray analysis, collaborative filtering, and web mining, object similarity is no longer measured by physical ...
BMCBI
2010
13 years 5 months ago
2010
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...