A Survey on Hard Computing Techniques based on Classification Problem

In this survey paper we survey about various techniques related to Hard computing techniques useful for improve efficiency and time complexity to solve complexity occur in classification techniques in data mining. In this survey we analyzed that multiple hard computing techniques provide different feature such as K-medoid, FCM, PAM, CLARA, CLARANS, BIRCH, CURE, ROCK and CHAELEON etc. In above mentioned techniques very useful and reliable techniques that to be introducing in this survey paper is K-means. K-means techniques based on hard computing and k number of cluster partitions concept. We also analysis of UCI library dataset that purely based on classification i.e. Iris, Wine, PimaIndians, Shuttle, Magic etc.