DETECTING OUTLIERS IN MULTIVARIATE DATA

*Dr. N. Senthil Vel Murugan, Dr. V. Vallinayagam and Dr. K. Senthamarai Kannan

ABSTRACT

In this paper a method for constructing Principal Component Analysis and the data taken for study is DNA sequence of samples affected by liver cancer. It can be inferred from the analysis that increases or decrease in protein level, hormone level contributes to liver cancer. The aim of this paper is to analyze the affected liver cancer DNA sequence data and extract the possible factors using Principal Component Analysis and it also deals with the outlier detection by distance measures. The reasonable results verify the validity of our method.

Keywords: DNA; Data Mining; Principal Component Analysis (PCA), Outliers.