Kirkuk Journal of Science

Kirkuk Journal of Science

The fastest algorithm for analyzing robust principal components with application on variables affecting the increase of aluminum level in blood Abstract

Author
Khlod Y.Khmo and Dhafer H.Rashid
10.32894/kujss.2006.44074
Abstract
One of the common techniques in analyzing multivariate data is analyzing of the principal components. This transforms large number of related variables into lesser number of no related components (PCA).
In case of existence of outliers, which can be detected in several ways, then the dependence of variance and ordinary covariance matrices, also correlation matrix, would lead to misleading results in analyzing the principal components.
The aim of this research is to introduce a new and fast algorithm in analyzing the robust principal components; when data contain outliers, while conventional methods fall in detecting outliers in data; then the results are misleading. The method is implemented to show its real effectiveness on variables affecting the increase of aluminum level in blood.
Keywords
The fastest
algorithm
Analyzing
robust
principal
Components
Application
variables
affecting the increase of aluminum level in blood Abstract
Kirkuk Journal of Science
Volume 1, Issue 2
Autumn 2006
Page 29-47

  • Receive Date 01 December 2006
  • Revise Date 20 December 2006
  • Accept Date 25 December 2006