Explaining Ant-Based Clustering on the basis of Self-Organizing Maps
Lutz Herrmann, Alfred Ultsch · 2008
Abstract. 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 Self-Organizing 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. 1