Unsupervised Clustering Classify theCancer Data withtheHelp of FCM Algorithm
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
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 .by finding structure one classifies the data according to similar patterns, features and other characteristics .this general 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.
Authors and Affiliations
Mr. S. P. shukla
Keywords
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- EP ID EP162418
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