A NOVEL METHOD TO CHOOSE OPTIMUM K VALUE IN K-NN CLASSIFICATION ALGORITHM

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MALEKI MASOUD; Manshouri Negin; Kayikcioglu Temel

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON RESEARCH IN ENGINEERING, SCIENCE AND TECHNOLOGY
Year:2016 | Issue:4

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Title

A NOVEL METHOD TO CHOOSE OPTIMUM K VALUE IN K-NN CLASSIFICATION ALGORITHM

Author(s)

MALEKI MASOUD | Manshouri Negin | Kayikcioglu Temel

Keywords

K-FOLD CROSS-VALIDATION

OPTIMUM K

K-NEAREST NEIGHBOR

LEAVE-ONE-OUT

PATTERN RECOGNITION

Abstract

THE K -NEAREST NEIGHBOR (K -NN) ALGORITHM IS ONE OF THE TRADITIONAL METHODS THAT IS USED IN CLASSIFICATION. IT ASSIGNS AN UNSEEN POINT TO THE DOMINANT CLASS BETWEEN ITS K NEAREST NEIGHBORS WITHIN THE DATA SET. HOWEVER, LACK OF A FORMAL FRAMEWORK FOR SELECTING THE NUMBER OF THE NEIGHBORHOOD K IS PROBLEMATIC. THIS ARTICLE INVESTIGATES A NEW METHOD FOR CALCULATING THE OPTIMUM VALUE OF K USING CROSS-VALIDATION TECHNIQUES. THE PROPOSED METHOD IS ALSO FULLY AUTOMATIC WITH NO USER-SET PARAMETERS. THE PROPOSED METHOD IS TESTED ON DIFFERENT BENCHMARK DATA SETS WITH HIGH CLASSIFICATION ACCURACY RATE. THE AUTHORS COMPARED RESULTS WITH OTHER METHODS AND THE PROPOSED METHOD SHOWED 0.1% - 4% HIGHER CLASSIFICATION ACCURACY RATE THAN OTHER METHODS.

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APA: Copy

MALEKI, MASOUD, Manshouri, Negin, & Kayikcioglu, Temel. (2016). A NOVEL METHOD TO CHOOSE OPTIMUM K VALUE IN K-NN CLASSIFICATION ALGORITHM. INTERNATIONAL CONFERENCE ON RESEARCH IN ENGINEERING, SCIENCE AND TECHNOLOGY. SID. https://sid.ir/paper/929199/en

Vancouver: Copy

MALEKI MASOUD, Manshouri Negin, Kayikcioglu Temel. A NOVEL METHOD TO CHOOSE OPTIMUM K VALUE IN K-NN CLASSIFICATION ALGORITHM. 2016. Available from: https://sid.ir/paper/929199/en

IEEE: Copy

MASOUD MALEKI, Negin Manshouri, and Temel Kayikcioglu, “A NOVEL METHOD TO CHOOSE OPTIMUM K VALUE IN K-NN CLASSIFICATION ALGORITHM,” presented at the INTERNATIONAL CONFERENCE ON RESEARCH IN ENGINEERING, SCIENCE AND TECHNOLOGY. 2016, [Online]. Available: https://sid.ir/paper/929199/en

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