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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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2012
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| Online Access: | http://eprints.utm.my/id/eprint/34105/ https://ieeexplore.ieee.org/document/6377760 |
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