Explaining Ant-Based Clustering on the basis of Self-Organizing Maps

Ant-based clustering is a nature-inspired technique whereas stochastic agents perform the task of clustering high-dimensional data. This paper analyzes the popular technique of Lumer/Faieta. It is shown that the Lumer/Faieta approach is strongly related to Kohonen's SelfOrganizing Batch Map. A unifying basis is derived in order to assess strengths and weaknesses of both techniques. The behaviour of several popular ant-based clustering techniques is explained.

• Type: Conference
• Year: 2008
• Where: ESANN
• Authors: Lutz Herrmann, Alfred Ultsch
• Keywords: Ant-based Clustering, ESANN 2008, Kohonen's SelfOrganizing Batch, Neural Networks, Popular Ant-based Clustering