Advanced Methods to Improve Performance of K-Means Algorithm: A Review

Dr. Ritu yadav; Anuradha Sharma

Advanced Methods to Improve Performance of K-Means Algorithm: A Review

Dr. Ritu yadav * §

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Anuradha Sharma §

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§ Guru Jambheshwar University of Science & Technology,...

Advanced Methods to Improve Performance of K-Means Algorithm: A Review

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Abstract

Clustering is an unsupervised classification that is the partitioning of a data set in a set of meaningful subsets. Each object in dataset shares some common property-often proximity according to some defined distance measure. Among various types of clustering techniques, K-Means is one of the most popular algorithms. The objective of K-means algorithm is to make the distances of objects in the same cluster as small as possible. Algorithms, systems and frameworks that address clustering challenges have been more elaborated over the past years. In this review paper, we present the K-Means algorithm and its improved techniques.

References

13 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Ritu yadav, Anuradha Sharma. 1970. "Advanced Methods to Improve Performance of K-Means Algorithm: A Review". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 9).

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GJCST Volume 12 Issue 9

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Classification Clustering K-Means Clustering partitioning clustering

Classification

GJCST Classification F.2

F.2.m

Submission ReceivedApril 6, 2012
Peer Review Double Blind
Handling Editor
Accepted May 3, 2012
Published May 2, 2012

Version of record

v1.2

Issue date

May 2, 2012

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Ritu yadav, Anuradha Sharma (PhD/Dr. count: 1)

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Publish Date: 2012 05, Tue

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