A Survey on Clustering Techniques for Big Data Mining

T  Sajana; C  M  Sheela Rani and K  V  Narayana

doi:10.17485/ijst/2016/v9i3/75971

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A Survey on Clustering Techniques for Big Data Mining

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i3/75971

Year: 2016, Volume: 9, Issue: 3, Pages: 1-12

Original Article

A Survey on Clustering Techniques for Big Data Mining

T. Sajana, C. M. Sheela Rani and K. V. Narayana

KL University, Vaddeswaram – 522502, Guntur Dist., Andhra Pradesh, India; [email protected], [email protected], [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This paper focuses on a keen study of different clustering algorithms highlighting the characteristics of big data. Brief overview of various clustering algorithms which are grouped under partitioning, hierarchical, density, grid based and model based are discussed.

Keywords: Characteristics of Big Data, Clustering Algorithms - Partitioning, Density, Grid Based, Model Based, Homogenous Data, Hierarchical