MULTI-CLUSTERING NETWORK FOR DATA CLASSIFICATION-SYSTEM

This paper presents a new multi-clustering network for the purpose of intelligent data classification. In this network, the first layer is a self-organized clustering layer and the second layer is a restricted clustering layer with a neighborhood mechanism. A new clustering algor ithm is developed in this system for the efficiently use of parallel p rocessors. This parallel algorithm enables the nodes of this network t o be independently processed in order to minimize data communication l oad among processors. Using the parallel processors, the quite low cal culation cost can be realized among the conventional networks. For exa mple, a 4-processor parallel computing system has shown its ability to reduce the time taken for data classification to 26.75% of a single p rocessor system without declining its performance.