SVM Classification in Multiclass Letter Recognition System

Aarti Kaushik

SVM Classification in Multiclass Letter Recognition System

Aarti Kaushik * §

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§ Jind Institute of Engineering and Technology, Jind

SVM Classification in Multiclass Letter Recognition System

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Abstract

In this paper, we have studied the concept of multiclass classification and support vector machine. After scrutinizing the problem of multiclass classification, we concluded the fact for how it is suited to describe the binary classification. Also illustrating various kernel functions associated with implementation for svm. By further proceeding, it would let you disclose the concept for fitness of support vector machine in multiclass letter recognition system.

References

3 Cites in Article

Reference Format

Jiawei Han,Micheline Kamber (2001). Data mining concept and technique.
Mr. Deshmukh (2012). Study of Classification of Diseases by Genetic Algorithm for Multiclass Support Vector Machine Using Hadoop.
J Christopher,Burges (1998). A tutorial on Support Vector Machine for Pattern Recognition.

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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

Aarti Kaushik. 2013. "SVM Classification in Multiclass Letter Recognition System". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C9).

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GJCST Volume 13 Issue C9

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-C Classification I.5.0

Submission ReceivedDecember 6, 2012
Peer Review Double Blind
Handling Editor
Accepted January 1, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

August 27, 2013

Language

English

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Article Matrices

Total Score: 143

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Aarti Kaushik, Gurdev Singh, Anupam Bhatia (PhD/Dr. count: 0)

View Count (all-time): 369

Total Views (Real + Logic): 2313

Total Downloads (simulated): 118

Publish Date: 2013 01, Tue

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Total Views: 2.3K

Total Downloads: 118

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