Instructor Led Component Analysis Training in Canada

Multivariate Data Analysis School The 5-day course, offered in English, focuses on the practical aspects of the most widely used multivariate methods: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Analysis. Lots of time for hands-on!  more...

Multivariate Techniques for Sensory and Consumer Studies ...ys, classical multivariate techniques including Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis and Discriminant Analysis are presented and their usefulness for sensory and consumer data is illustrated with case studies based on real data. The last day is dedicated to alternative and less known applications of these methods to address specific  more...

Principal Component Analysis and its Applications ...Component Analysis (PCA) is a multivariate method which can identify redundancy or correlation among a set of measurements or variables for the purpose of data reduction. This powerful exploratory tool provides insightful graphical summaries with ability to include additional information as well. This training course discusses the limitations of traditional descriptive tools for exploring  more...