A parallel Kohonen algorithm for the classification of large spatial datasets

Abstract The paper describes the development of Kohonen-net-based methods suitable for the classification of large spatial datasets suitable for parallel processing. Parallelising the Kohonen net is not easy because the degree of natural parallelism is finely grained. This paper presents a new algorithm and demonstrates its performance on the Cray T3D parallel supercomputer.