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General
Applied Multivariate Statistical Analysis by Richard Johnson and Dean Wichern -794 pages-
Lecture notes on Multivariate Data Analysis by Nick Fieller -447 pages-
Multivariate Analysis (Statistical Inference for Astronomers), by T.Krishnan -60 pages-
Multivariate Statistical Analysis by Philip B. Ender (on-line lecture notes)
A Combinatorial Introduction to Cluster Analysis by Melvin F. Janowitz -46 pages-
A Course in Multivariate Analysis by Howard G. Tucker -130 pages-
A Tutorial on Multivariate Statistical Analysis by Craig A. Tracy -46 slides-
Factor Analysis
Lecture notes on Factor Analysis I by Elizabeth Garrett-Mayer -56 pages-
Lecture notes on Factor Analysis II by Elizabeth Garrett-Mayer -21 pages-
Factor Analysis by Peter Tryfos -22 pages-
Underatanding Factor Analysis by R.J. Rummel -on-line textbook-
Principal Component Analysis
Principal component analysis by SAS - 56 pages -
Principal component analysis by Herve Abdi and Lynne J. Williams - 27 pages -
Tutorial on Principal Compontent Analysis by Javier R. Movellan -9 pages-
Principal Component Analysis by George Bebis -8 pages-
Principal Component Analysis by Peter Tino -17 pages-
A tutorial on Pricipal Component Analysis by Lindsay I. Smith -27 pages-
Discriminant Analysis
Discriminant Analysis by Daniel Peña Sánchez de Rivera -34 pages-
Linear Discriminant Analysis - A Brief Tutorial by S. Balakrishnama and A. Ganapathiraju -9 pages-
Regularised Discriminant Analysis by Jerome H. Friedman -32 pages-
Regularised Discriminant Analysis and Reduced-Rank LDA by Jia Li -34 pages-
Semi-Supervised Discriminant Analysis by Dit-Yan Yeung -76 slides-
Discriminant analysis by Janette Walde - 30 slides -
Discrimination and Classification by Kritikou Katerina, Nikaki Katerina and Nikolaidou Chrysa -47 slides in Greek-
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