25041 search results - page 141 / 5009 » Algorithms for Clustering Data |
ICANN
2009
Springer
14 years 26 days ago
2009
Springer
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...
PAMI
2011
13 years 3 months ago
2011
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
— Redistricting is the process of dividing a geographic area into districts or zones. This process has been considered in the past as a problem that is computationally too comple...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
The rapid advances of genome-scale sequencing have brought out the necessity of developing new data processing techniques for enormous genomic data. Microarrays, for example, can g...