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  Published Paper Details:

  Paper Title

K -NEAREST NEIGHBORS MACHINE LEARNING ALGORITHM

  Authors

  SIDDHARTH NANDAKUMAR CHIKALKAR

  Keywords

machine learning, supervised learning algorithm, data mining, classification algorithm

  Abstract


Abstract: KNN algorithm is the simplest supervised machine learning algorithm it is mostly used to classification. It the method where KNN algorithm save the data and classifies new cases on a similarity measure according to that data. K value in KNN is most impactable and the high influence on the performance of the KNN algorithm. Other terms of data mining are knowledge extraction, knowledge mining from data base, data or pattern analysis, classification of data. Classification is one the data mining technique to predict the unknown data class with their training set with known class labels data sets. KNN is used to classify future data and it�s easy to implementation and it has higher accuracy.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2012253

  Paper ID - 201732

  Page Number(s) - 2400-2404

  Pubished in - Volume 8 | Issue 12 | December 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  SIDDHARTH NANDAKUMAR CHIKALKAR,   "K -NEAREST NEIGHBORS MACHINE LEARNING ALGORITHM ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 12, pp.2400-2404, December 2020, Available at :http://www.ijcrt.org/papers/IJCRT2012253.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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