Cluster Based Analysis and Consumption of Food Products  in Targeted Public Distribution System

Cluster Based Analysis and Consumption of Food Products in Targeted Public Distribution System

Ms. P Shanmuga Priya

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Capt. Dr. S Santhosh Baboo

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University of Madras

Cluster Based Analysis and Consumption of Food Products in Targeted Public Distribution System

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Abstract

The Public Distribution System in India is 50 years old. At present it is being carried on as an anti-inflationary and antipoverty system. Tamil Nadu, the southernmost State in the country, is adopting the Universal Public Distribution System covering its entire population and supplying regularly rice, wheat, sugar, kerosene and other products like pulses, edible oil etc. The PDS is a centrally sponsored scheme that entitles beneficiaries to subsidized food grains every month. Several challenges have been identified in the implementation of PDS like (i) Targeting errors (ii) Large leakages or diversion (iii) The elimination of bogus cards and (iv) The problems in Fair Price Shops. This paper analyses and evaluates the problems and finds the possible solutions using the data mining techniques based on preprocessing and clustering. The K-means and K-harmonic means algorithms are combined to cluster the data based on the type of food commodities for rice and wheat.

References

12 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

Ms. P Shanmuga Priya. 2013. \u201cCluster Based Analysis and Consumption of Food Products in Targeted Public Distribution System\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C4): .

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GJCST Volume 13 Issue C4
Pg. 3- 8

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

cluster based PDS K-harmonic means K-means PDS

Submission ReceivedDecember 7, 2012
Peer Review Double Blind
Handling Editor
Accepted January 5, 2013
Published January 15, 2013

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v1.2

Issue date

May 2, 2013

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Article Matrices

Total Score: 107

Country: India

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

Authors: Ms. P Shanmuga Priya, Capt. Dr. S Santhosh Baboo (PhD/Dr. count: 1)

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Publish Date: 2013 05, Thu

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Total Views: 9634

Total Downloads: 2530

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