539 search results - page 14 / 108 » Finding Groups in Data: Cluster Analysis with Ants |
JSA
2006
13 years 6 months ago
2006
ct 7 Social animals or insects in nature often exhibit a form of emergent collective behavior known as flocking. In this paper, 8 we present a novel Flocking based approach for doc...
BMCBI
2004
13 years 6 months ago
2004
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
ICMCS
2010
IEEE
13 years 7 months ago
2010
IEEE
Most affinity-based grouping methods only model the inclusive relation among the data. When the data set contains a significant amount of noise data that should not be included in...
BMCBI
2007
13 years 6 months ago
2007
Background: This paper presents a unified framework for finding differentially expressed genes (DEGs) from the microarray data. The proposed framework has three interrelated modul...
CVPR
2000
IEEE
13 years 11 months ago
2000
IEEE
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...