In this tutorial, we show the complementarity between a clustering method (HAC - Hierarchical agglomerative clustering) and a factor analysis approach for multivariate data visualization (PCA - Principal Component Analysis).
The aim is to obtain a better understanding of underlying concept organizing the data.
Keywords: HAC, clustering, PCA, factor analysis, statistical graphics, visualizing multivariate data
Components: HAC, Group characterization, Principal component analysis, correlation scatterplot, scatterplot
Tutorial: en_Tanagra_hac_pca.pdf
Dataset: cars.xls
