A conditional clustering algorithm using self-organizing map

A new clustering method using SOM is proposed. In our method, we can specify three parameters, the number of clusters, maximum and minimum number of elements in a cluster. The proposed method consists of three parts: SOM´s learning, setting of classification lines, and adjusting clusters. We applied this method to a plant layout planning problem and satisfactory results were obtained.