ISSN No:2250-3676
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Scholarly Peer Reviewed and Fully Referred Open Access Multidisciplinary Monthly Research Journal


    SegmentWise: An Unsupervised Approach To Customer Behavior Clustering Via K-Means

    Vijayakumar Polepally,Jagannadha Rao D.B.

    Author

    ID: 1231

    DOI: Https://doi.org/10.5281/zenodo.15673694

    Abstract :

    When Someone Wants To Setup A Company There Are A Lot Of Things, They Should Consider To Get Good Profits/revenue Because To Setup A Big Company They Need A Lot Of Resources And A Lot Of Budget To Put Together And One Small Mistake Can Give Huge Losses. So, We Should Use Better Strategies So That The Risk Factor Becomes Low. Decision Making Is A Very Important Thing Before Setting Up A Company And People Who Are Working In The Company Should Use Better Techniques To Reduce The Risk To The Company. Their Decision Will Make The Final Result A Better Result Or Give Worst Results. One Of The Important Techniques Is To Make Use Of Technology And One Of The Best Techniques We Could Use To Get Better Yield For A Company Is Machine Learning Where We Use Several Past Datasets And Train Models And Get Important Data From It So That It Will Be Very Useful To The Companys Growth. Keywords—Customer Segmentation, Clustering, K-Means Algorithm

    Published:

    16-6-2022

    Issue:

    Vol. 22 No. 6 (2022)


    Page Nos:

    39-46


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    Vijayakumar Polepally,Jagannadha Rao D.B., SegmentWise: An Unsupervised Approach to Customer Behavior Clustering via K-Means , 2022, International Journal of Engineering Sciences and Advanced Technology, 22(6), Page 39-46, ISSN No: 2250-3676.

    DOI: https://doi.org/10.5281/zenodo.15673694