744 search results - page 33 / 149 » Parallelization of Multi-objective Evolutionary Algorithms U... |
ICDCS
2006
IEEE
14 years 1 months ago
2006
IEEE
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
SBCCI
2003
ACM
14 years 28 days ago
2003
ACM
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
IGARSS
2009
13 years 5 months ago
2009
We have explored in this paper a framework to test in a quantitative manner the stability of different endmember extraction and spectral unmixing algorithms based on the concept o...
BMCBI
2010
13 years 7 months ago
2010
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
KES
1999
Springer
13 years 12 months ago
1999
Springer
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...