Improving the tool for analyzing Malaysia’s demographic change: data standardization analysis to form geo-demographics classification profiles using k-means algorithms

Improving the tool for analyzing Malaysia’s demographic change: data standardization analysis to form geo-demographics classification profiles using k-means algorithms

Clustering is one of the important methods in data exploratory in this era because it is widely applied in data mining.Clustering of data is necessary to produce geo-demographic classification where k-means algorithm is used as cluster algorithm. K-means is one of the methods commonly used in clus...

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Bibliographic Details
Main Authors: Kamarul Ismail, Nasir Nayan, Siti Naielah Ibrahim
Format: Article
Language:English
Published: School of Social, Development and Environmental Studies, Faculty of Social Science and Humanities, Universiti Kebangsaan Malaysia 2016
Online Access:http://journalarticle.ukm.my/10309/
http://journalarticle.ukm.my/10309/1/4x.geografia-siupsi-mei16-Kamarul-edam.pdf

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