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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| Format: | Article |
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Pushpa Publishing House
2018
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