Abstract
Data clustering is a common technique for data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. K-means is a simple and widely used algorithm for clustering data. But, the traditional k-means is computationally expensive; sensitive to outlier’s i.e. unnecessary data and produces unstable result hence it becomes inefficient when dealing with very large datasets. Solving these Issues is the subject of many recent research works. In this paper, we will do a review on k-means clustering algorithms.
Keywords
Big Data
K-Means Clustering
Map Reduce
Datamining
Authors
How to Cite this Article
K.M.Padmapriya, Dr. B.Anandhi (2017).
"A REVIEW ON BIG DATA ANALYSIS AND K-MEANS CLUSTERING ALGORITHM USING PERFORMANCE OF GPU".
International Journal of Contemporary Research in Computer Science and Technology,
3(1), pp. 48-51.
