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An Efficient Hybrid Genetic Fuzzy C-Means Algorithm on Data Mining Techniques


Priya Arjunan , Sankara College of Science And Commerce; Sasikala R


Data Mining, Clustering, K-Means, Genetic K-Means


The amount of data in world is growing day by day because the use of internet, smart phones and social networks. Big data is a collection of data sets which is very large in size as well as complex. Traditional database systems are not able to capture, store and analyze this large amount of data. In this research, proposed an algorithm for the clustering problem of big data using a combination of the genetic algorithm with the K-Means algorithm. The main idea behind this algorithm is to combines the advantage of Genetic algorithm and K-means to process large amount of data.

Other Details

Paper ID: IJSRDV5I10149
Published in: Volume : 5, Issue : 1
Publication Date: 01/04/2017
Page(s): 170-172

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