Multi-clustering Network for Data Classification System

スポンサーリンク

概要

• 論文の詳細を見る

• 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 algorithm is developed in this system for the efficiently use of parallel processors. This parallel algorithm enables the nodes of this network to be independently processed in order to minimize data communication load among processors. Using the parallel processors, the quite low calculation cost can be realized among the conventional networks. For example, a 4-processor parallel computing system has shown its ability to reduce the time taken for data classification to 26.75% of a single processor system without declining its performance.

• 社団法人電子情報通信学会の論文
• 1997-09-25

著者

• Tochinai Koji

  The Department Of Electronic Engineering Faculty Of Engineering Hokkaido University

• Islam Rafiqul

  The Department Of Information Engineering Faculty Of Engineering Hokkaido University

• MIYANAGA Yoshikazu

  the Department of Electronic Engineering, Faculty of Engineering, Hokkaido University

• Miyanaga Yoshikazu

  The Department Of Electronic Engineering Faculty Of Engineering Hokkaido University

関連論文

• Multi-clustering Network for Data Classification System

スポンサーリンク