K-means algorithm via preprocessing technique and singular value decomposition for high dimension datasets

Data clustering is an unsupervised classification method aimed at creating groups of objects, or clusters that are distinct. Among the clustering techniques, Kmeans is the most widely used technique. Two issues are prominent in creating a Kmeans clustering algorithm; the optimal number of clusters a...

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Bibliographic Details
Main Author: Usman, Dauda
Format: Thesis
Published: 2014
Online Access:http://eprints.utm.my/id/eprint/77643/1/DaudaUsmanPFS2014.pdf
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