Clustering Using Adaptive Self-organizing Maps (ASOM) and Applications

Abstract. This paper presents an innovative, adaptive variant of Kohonen’s selforganizing maps called ASOM, which is an unsupervised clustering method that adaptively decides on the best architecture for the self-organizing map. Like the traditional SOMs, this clustering technique also provides useful information about the relationship between the resulting clusters. Applications of the resulting software to clustering biological data are discussed in detail.

• Type: Conference
• Year: 2005
• Where: ICCS
• Authors: Yong Wang, Chengyong Yang, Kalai Mathee, Giri Narasimhan
• Keywords: Clustering Technique, ICCS 2005, Kohonen’s Selforganizing Maps, Unsupervised Clustering Method