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Hybrid PCA-ILGC clustering approach for high dimensional data

The availability of high dimensional dataset that incredible growth, imposes insufficient conventional approaches to extract hidden useful information. As a result, today researchers are challenged to develop new techniques to deal with massive high dimensional data that has not only in term of numb...

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Bibliographic Details
Main Authors:	Musdholifah, Aina, Mohd. Hashim, Siti Zaiton, Ngah, Razali
Format:	Conference or Workshop Item
Published:	2012
Online Access:	http://eprints.utm.my/id/eprint/34105/ https://ieeexplore.ieee.org/document/6377760
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