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

Published in:	2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC) pp. 420 - 424
Main Authors:	Musdholifah, A., Hashim, S. Z. M., Ngah, R.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2012
Subjects:	Accuracy Algorithm design and analysis Clustering Clustering algorithms Data mining Data visualization dimensionality reduction Heart iterative local Gaussian clustering algorithm Principal component analysis
ISBN:	9781467317139, 1467317136
ISSN:	1062-922X
Online Access:	Get full text
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