Visualizing singular value decomposition

Abstract

AbstractSingular value decomposition/principal component analysis method is a central tool in multivariate analysis and functional data analysis. In this article, a list of visualization tools that are useful in revealing structure within sample datasets is investigated. An Internet traffic dataset is used to illustrate the usefulness of these methods.This article is categorized under: Statistical Learning and Exploratory Methods of the Data Sciences > Clustering and Classification Algorithms and Computational Methods > Computer Graphics Statistical and Graphical Methods of Data Analysis > Statistical Graphics and Visualization