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

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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书目详细资料
主要作者:	Usman, Dauda
格式:	Thesis
语言:	English
出版:	2014
主题:	QA Mathematics
在线阅读:	http://eprints.utm.my/id/eprint/77643/1/DaudaUsmanPFS2014.pdf
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