Similarity based cluster analysis on engineering materials data sets

Abstract

Nowadays with rapidly growing databases in manufacturing industries it's really an unmanageable timing problem to analyze them and to make decision from them. Studying this type of problem using data mining techniques leads more clarification for manufacture and also for better research work. Here in this paper a similarity based cluster technique is proposed on engineering materials database and implemented using c sharp .net. © 2012 Springer-Verlag GmbH.