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Computation Of Optimal Number Of Clusters For The K-Means Clustering Algorithm {Second Edition}

Computation Of Optimal Number Of Clusters For The K-Means Clustering Algorithm {Second Edition} Original Research Work Of Mr. Ramesh Chandra Bagadi - Wisconsin Technology

Paperback (22 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 K-Means Clustering Algorithm using a Novel definition of a Complement of a Vector or an n Dimensional Matrix.

Book information

ISBN: 9798629329602
Publisher: Independently Published
Imprint: Independently Published
Pub date:
Language: English
Number of pages: 86
Weight: 136g
Height: 229mm
Width: 152mm
Spine width: 5mm