K-means Clustering Algorithm: Implementation and Critical Analysis

Language: English

Published by Scholars' Press, 2019

613883819X / 9786138838197

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nach der Bestellung gedruckt Neuware - Printed after ordering - Clustering is considered as widely used data mining practices. Clustering is the technique of dividing entire dataset in certain clusters created on the comparable characteristics of the instances. On the foundation of the likeness between the instances of data, grouping or clustering the instances of the large database regardless of its size is considered as significant chunk of data mining. There are plentiful approaches of clustering but this book mainly focuses on improving k-Means clustering algorithm. This method clusters the input dataset in quantified number (k) of groups. This method is verified to be very efficient when while dealing with small data, but for huge data, it fails in time complexity; it takes time more than usual. This work mainly aims comparison of k-means clustering scheme with ranking method to speed up the comprehensive running time for k-Means clustering algorithm. The experimental results clearly confirms that the new technique is more time efficient than the old-style k-Means clustering method.…

Title
K-means Clustering Algorithm: Implementation and Critical Analysis
Author
Swati Patel
Publisher
Scholars' Press
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
613883819X
ISBN 13
9786138838197
Item weight
119 grams
Dimensions
220x150x5 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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