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K-Nearest Neighbour and Earth Mover Distance for Raaga Recognition

by Prof. Prasad Reddy P.V.G.D, B. Tarakeswara Rao, Dr. K.R Sudha, Hari CH.V.M.K
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 33 - Number 5
Year of Publication: 2011
Authors: Prof. Prasad Reddy P.V.G.D, B. Tarakeswara Rao, Dr. K.R Sudha, Hari CH.V.M.K
10.5120/4017-5705

Prof. Prasad Reddy P.V.G.D, B. Tarakeswara Rao, Dr. K.R Sudha, Hari CH.V.M.K . K-Nearest Neighbour and Earth Mover Distance for Raaga Recognition. International Journal of Computer Applications. 33, 5 ( November 2011), 30-38. DOI=10.5120/4017-5705

@article{ 10.5120/4017-5705,
author = { Prof. Prasad Reddy P.V.G.D, B. Tarakeswara Rao, Dr. K.R Sudha, Hari CH.V.M.K },
title = { K-Nearest Neighbour and Earth Mover Distance for Raaga Recognition },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 33 },
number = { 5 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 30-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume33/number5/4017-5705/ },
doi = { 10.5120/4017-5705 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:22.123822+05:30
%A Prof. Prasad Reddy P.V.G.D
%A B. Tarakeswara Rao
%A Dr. K.R Sudha
%A Hari CH.V.M.K
%T K-Nearest Neighbour and Earth Mover Distance for Raaga Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 5
%P 30-38
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As far as the Raaga Recognition process, most probably the significant and straightforward classifier in the arsenal or machine learning techniques is the Nearest Neighbour Classifier. The classification is achieved by identifying the nearest neighbours to a query example and using those neighbours to determine the class of the query. This approach to classification is of particular importance today because issues of poor run-time performance are not such a problem these days with the computational power that is available. This paper presents an overview of techniques for Nearest Neighbour classification focusing on; mechanisms for finding distance between neighbours using Cosine Distance (CD), Earth Movers Distance (EMD) and formulas are used to identify nearest neighbours, algorithm for classification in training and testing for identifying raagas. From the results it is concluded that Earth Movers Distance (EMD) is producing better results than Cosine Distance measure. Keywords--- Raaga, Cosine Distance( CD), Earth Movers Distance (EMD), K-NN

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Index Terms

Computer Science
Information Sciences

Keywords

Cosine Distance Earth Mover Distance (EMD) K-Nearest Neighbour

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