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Call for Papers:Vol.11 Issue.3

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Title: :  K-means algorithm based Clustering for Big data
PaperId: :  6765
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 5 2017
DUI:    16.0415/IJARIIE-6765
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Khevana ShahL.D. College of Engineering

Abstract

Information Technology
Clustering, Types of clustering, Classification, Data mining, big data.
Clustering is a data mining technique used to place data elements into related groups without advance knowledge of the group definition. Clustering is a pro-cess of partitioning a set of data in a set of meaningful sub-classes, called cluster. In this paper, we propose to give a review of the most used clustering methods. First, we give an introduction about clustering methods, how they work and their main challenges. Second, we present the clustering methods with some comparisons including mainly the classical partitioning clustering methods like well-known k-means algorithms, Gaussian Mixture Modals and their variants, the classical hierarchical clustering methods. Clustering algorithms can be categorized into partition-based algorithms, hierarchical-based algorithms, density-based algorithms and grid-based algorithms. Partitioning clustering algorithm splits the data points into k partition, where each partition represents a cluster. Hierarchical clustering is a technique of clustering which divide the similar dataset by constructing a hierarchy of clusters. Density based algorithms and the cluster according to the regions which grow with high density. It is the one-scan algorithms. Grid Density based algorithm uses the multi resolution grid data structure and use dense grids to form clusters. Its main distinctiveness is the fastest processing time. In this survey paper, an analysis of clustering and its different techniques in data mining is done.

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IJARIIE Khevana Shah. "K-means algorithm based Clustering for Big data" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 5 2017 Page 1156-1159
MLA Khevana Shah. "K-means algorithm based Clustering for Big data." International Journal Of Advance Research And Innovative Ideas In Education 3.5(2017) : 1156-1159.
APA Khevana Shah. (2017). K-means algorithm based Clustering for Big data. International Journal Of Advance Research And Innovative Ideas In Education, 3(5), 1156-1159.
Chicago Khevana Shah. "K-means algorithm based Clustering for Big data." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 5 (2017) : 1156-1159.
Oxford Khevana Shah. 'K-means algorithm based Clustering for Big data', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 5, 2017, p. 1156-1159. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/K_means_algorithm_based_Clustering_for_Big_data_ijariie6765.pdf (Accessed : ).
Harvard Khevana Shah. (2017) 'K-means algorithm based Clustering for Big data', International Journal Of Advance Research And Innovative Ideas In Education, 3(5), pp. 1156-1159IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/K_means_algorithm_based_Clustering_for_Big_data_ijariie6765.pdf (Accessed : )
IEEE Khevana Shah, "K-means algorithm based Clustering for Big data," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 5, pp. 1156-1159, Sep-Oct 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/K_means_algorithm_based_Clustering_for_Big_data_ijariie6765.pdf [Accessed : ].
Turabian Khevana Shah. "K-means algorithm based Clustering for Big data." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 5 ().
Vancouver Khevana Shah. K-means algorithm based Clustering for Big data. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(5) : 1156-1159. Available from: http://ijariie.com/AdminUploadPdf/K_means_algorithm_based_Clustering_for_Big_data_ijariie6765.pdf
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