Author : Arup Kumar Bhattacharjee 1
Date of Publication :7th October 2016
Abstract: Data analysis is considered as an efficient and handy tool for processing huge amount of data which is very tough and data mining technology identifies patterns and trends of these data. This technique is used to extract the unknown pattern from a large dataset helping unreal time applications. Raw data from this dataset are classified by using cluster analysis-an important method for classifying data, finding clusters based on similarities with the same cluster and dissimilarities with others. There are various algorithms which are used to solve this problem like, K-Means, Fuzzy C Means (FCM), Rough C means, Rough Fuzzy C means. A comparative study of these algorithms is done in this paper. These algorithms are implemented in MATLAB using a set of real life data sets. So, this paper is a blend of Mathematics, Statistics and Computer Application.
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