Unsupervised Clustering Classify theCancer Data withtheHelp of FCM Algorithm
Mr. S.P.shukla, Mrs. RituDwivedi · IOSR Journal of Computer Engineering · 2014
There is structure in nature; also it is believed that there is an underlying structure in most of phenomena, to be understood.in image recognition ,mole biology applications such as protein folding and 3D molecular structure, cancer detection many others the underlying structure exists .byfinding structure one classifies the data according to similar patterns, features and other characteristics .thisgeneral idea is known as classification.In classification, also termed clustering, the most important issue is deciding what criteria to classify against.This paper presents the fuzzy classification techniques to classify the data of cancer disease.Cluster analysis, cluster validity and fuzzy C-mean (FCM) technique are proposed to be discussed and applied in cancer data classification.