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  Published Paper Details:

  Paper Title

MODIFIED K-NEAREST NEIGHBOURS ALGORITHM FOR CUSTOMER CLASSIFICATION

  Authors

  Shyamal Goel

  Keywords

K � nearest neighbours, clustering, validity, Euclidean distance

  Abstract


The original KNN algorithm takes into account the K nearest neighbours of a testing point, and that class or label is assigned to the testing point which holds a majority among the selected K points. But the algorithm does not take into account the classes or labels of the closest neighbours of each of the K selected points. If we also take this parameter into account, we can increase the accuracy of the KNN algorithm. The modified algorithm, has been implemented in [1]. We have taken the same algorithm and applied it on a customer classification dataset, and varied the parameters to increase accuracy and determine their most optimum values.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2006130

  Paper ID - 195535

  Page Number(s) - 958-971

  Pubished in - Volume 8 | Issue 6 | June 2020

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Shyamal Goel,   "MODIFIED K-NEAREST NEIGHBOURS ALGORITHM FOR CUSTOMER CLASSIFICATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 6, pp.958-971, June 2020, Available at :http://www.ijcrt.org/papers/IJCRT2006130.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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