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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Pushpa Publishing House
2018
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/74236/ http://www.pphmj.com/abstract/11654.htm |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|