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Epsilon Neighbourhood Based Optimal Number Of Clusters Clustering Algorithm {First Edition}

Epsilon Neighbourhood Based Optimal Number Of Clusters Clustering Algorithm {First Edition} Original Research Work Of Mr. Ramesh Chandra Bagadi - Wisconsin Technology

Paperback (25 Mar 2020)

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    Publisher's Synopsis

    In this research investigation, the author has presented a Novel way of finding the Optimal Number of Clusters for use in the Epsilon Neighbourhood Based Connected Clusters Clustering Algorithm using a Novel definition of a Complement of a Vector or an n Dimensional Matrix.

    Book information

    ISBN: 9798630458841
    Publisher: Independently Published
    Imprint: Independently Published
    Pub date:
    Language: English
    Number of pages: 84
    Weight: 122g
    Height: 229mm
    Width: 152mm
    Spine width: 4mm

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