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» Finding Groups in Data: Cluster Analysis with Ants
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ISDA
2006
IEEE
13 years 11 months ago
Finding Groups in Data: Cluster Analysis with Ants
We present in this paper a modification of Lumer and Faieta’s algorithm for data clustering. This algorithm discovers automatically clusters in numerical data without prior kno...
Urszula Boryczka
GECCO
2003
Springer
322views Optimization» more  GECCO 2003»
13 years 10 months ago
AntClust: Ant Clustering and Web Usage Mining
Abstract. In this paper, we propose a new ant-based clustering algorithm called AntClust. It is inspired from the chemical recognition system of ants. In this system, the continuou...
Nicolas Labroche, Nicolas Monmarché, Gilles...
EUROMICRO
2011
IEEE
12 years 4 months ago
Software Product Quality in Global Software Development: Finding Groups with Aligned Goals
— The development of a software product in an organization involves various groups of stakeholders who may prioritize the qualities of the product differently. This paper present...
Panagiota Chatzipetrou, Lefteris Angelis, Sebastia...
AUSAI
2005
Springer
13 years 10 months ago
Finding Similar Patterns in Microarray Data
Abstract. In this paper we propose a clustering algorithm called sCluster for analysis of gene expression data based on pattern-similarity. The algorithm captures the tight cluster...
Xiangsheng Chen, Jiuyong Li, Grant Daggard, Xiaodi...
ICTAI
2005
IEEE
13 years 10 months ago
Cellular Ants: Combining Ant-Based Clustering with Cellular Automata
This paper proposes a novel data clustering algorithm, coined ‘cellular ants’, which combines principles of cellular automata and ant colony optimization algorithms to group s...
Andrew Vande Moere, Justin James Clayden