NDLI: Gene expression data classification using SVM-KNN classifier

Content Provider	IEEE Xplore Digital Library
Author	Xiaoqiao Shen Yaping Lin
Copyright Year	2004
Description	Author affiliation: Sch. of Comput. & Commun., Hunan Univ., Changsha, China (Xiaoqiao Shen; Yaping Lin)
Abstract	We propose a new classifier that combines support vector machine (SVM) with K nearest neighbor (KNN) for gene expression data classification. The new classifier, SVM-KNN (KSVM), takes SVM as a 1NN classifier in which only one representative point is selected for each class. In the class phase, the algorithm computes the distance from the test samples to the optimal hyperplane of SVM in feature space. If the distance is greater that a given threshold, the test sample is classified on SVM; otherwise, the KNN algorithm is used. Experimental results show that KSVM has a higher classification rate than those of traditional SVM and KNN. A better method for the problem of gene selection is also suggested.
Starting Page	149
Ending Page	152
File Size	661501
Page Count	4
File Format	PDF
ISBN	0780386876
DOI	10.1109/ISIMP.2004.1434022
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Machine learning algorithms Support vector machine classification Clustering algorithms Classification algorithms Gene expression Neoplasms Nearest neighbor searches Testing Diseases
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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