The performance of k-means clustering method based on robust principal components

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The performance of k-means clustering method based on robust principal components

The k-means clustering method is the most widely used method to group n observations into k clusters. It is now evident that clustering results can be improved by applying classical principal component analysis (PCA) with the k-means clustering algorithm. However, the clustering results of PCA with...

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Bibliographic Details
Main Authors:	Kadom, Ahmed, Midi, Habshah, Rana, Sohel
Format:	Article
Published:	Pushpa Publishing House 2018
Online Access:	http://psasir.upm.edu.my/id/eprint/74236/

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