Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster

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Max-D clustering K-means algorithm for Autogeneration of Centroids and Distance of Data Points Cluster

K-Means is one of the unsupervised learning and partitioning clustering algorithms. It is very popular and widely used for its simplicity and fastness. The main drawback of this algorithm is that user should specify the number of cluster in advance. As an iterative clustering strategy, K-Means algor...

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Bibliographic Details
Main Authors:	Wan Maseri, Wan Mohd, Beg, Abul Hashem, Tutut, Herawan, K., F.Rabbi
Format:	Article
Language:	English
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/6871/ http://umpir.ump.edu.my/id/eprint/6871/1/Max-D_clustering_K-means_algorithm_for_Autogeneration.pdf

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