Improved cluster partition in principal component analysis guided clustering
Principal component analysis (PCA) guided clustering approach is widely used in high dimensional data to improve the efficiency of K- means cluster solutions. Typically, Pearson correlation is used in PCA to provide an eigen-analysis to obtain the associated components that account for most of the v...
Main Authors: | , , |
---|---|
Format: | Article |
Published: |
2013
|
Subjects: |