The Architecture of Ant-Based Clustering to Improve Topographic Mapping

Abstract. This paper analyzes the popular ant-based clustering approach of Lumer/Faieta. Analysis of formulae unveils that ant-based clustering is strongly related to Kohonen’s Self-Organizing Batch Map. Known phenomena, e.g. formation of too many and too small clusters, can be explained due to that. Furthermore it is shown how topographic mapping of ant-based methods is substantially improved by means of a modified error function. This is demonstrated on few selected fundamental clustering problems.

• Type: Conference
• Year: 2008
• Where: ANTSW
• Authors: Lutz Herrmann, Alfred Ultsch
• Keywords: Ant-based Clustering, Ant-based Clustering Approach, ANTSW 2008, Artificial Intelligence, Kohonen’s Self-Organizing Batch