Multivariate Outlier Detection Using Independent Component Analysis

摘要

The recent developments by considering a rather unexpected application of the theory of Independent component analysis (ICA) found in clustering data, detection outlier etc visualization data multivariate and. Accurate identification of outliers plays an important role in statistical analysis. If classical statistical models are blindly applied to data containing outliers, the results can be misleading at best. In addition, outliers themselves are often the special points of interest in many practical situations and their identification is the main purpose of the investigation. This paper takes an attempt and new a for method novelmultivariate outlier detection using ICA and compares the in techniques iondetect outlier different with literature.