Sciweavers

Share
ICANN
2009
Springer

A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means

9 years 3 months ago
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means
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 optimal clustering for the data, but to obtain a view about the structure of data clusters. SOM is an Artificial Neural Network, which has one of its characteristics the nonlinear projection. AK is a meta-heuristic approach for solving hard combinatorial optimization problems based on Ant Colony Optimization (ACO). The SOMAK has a good performance when compared with some clustering techniques and reduces the computational time.
Jefferson R. Souza, Teresa Bernarda Ludermir, Lean
Added 25 Jul 2010
Updated 25 Jul 2010
Type Conference
Year 2009
Where ICANN
Authors Jefferson R. Souza, Teresa Bernarda Ludermir, Leandro M. Almeida
Comments (0)
books