Cluster Analysis of Medical Research Data using R

Cluster Analysis of Medical Research Data using R

Lavanya Pamulaparty

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Dr. C. V Guru Rao

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Dr. M. Sreenivasa Rao

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Osmania University

Cluster Analysis of Medical Research Data using R

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Abstract

Cluster analysis divides the data into groups that are meaningful, useful or both. It is also used as a starting point for other purposes of data summarization. This paper discuss some very basic algorithms like K-means, Fuzzy C-means, Hierarchical clustering to come up with clusters, and use R data mining tool. The results are tested on the datasets namely Online News Popularity, Iris Data Set and from UCI data repository and mi RNA dataset for medical data analysis. All datasets was analyzed with different clustering algorithms and the figures we are showing is the working of them in R data mining tool. Every algorithm has its uniqueness and antithetical behavior.

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

Lavanya Pamulaparty. 2016. \u201cCluster Analysis of Medical Research Data using R\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 16 (GJCST Volume 16 Issue C1).

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GJCST Volume 16 Issue C1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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Classification

GJCST-C Classification H.3.3 I.5.3

Submission ReceivedDecember 15, 2015
Peer Review Double Blind
Handling Editor
Accepted January 1, 2016
Published January 15, 2016

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v1.2

Issue date

April 22, 2016

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Article Matrices

Total Score: 113

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Lavanya Pamulaparty, Dr. C. V Guru Rao, Dr. M. Sreenivasa Rao (PhD/Dr. count: 2)

View Count (all-time): 296

Total Views (Real + Logic): 7343

Total Downloads (simulated): 1991

Publish Date: 2016 04, Fri

Monthly Totals (Real + Logic):

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Total Views: 7343

Total Downloads: 1991

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