Instructor Led Cluster Analysis Training in Canada
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From Creascience
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!
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Multivariate Techniques for Sensory and Consumer Studies


...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 issues and get more actionable results from the collected data. For
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Cluster Analysis and its Applications

Target Audience An applied training session in statistics intended for all the scientific staff collecting large datasets and wishing to graphically summarizing them and identifying groups.
Aims It covers, a powerful multivariate technique, that comprises a diverse collection of techniques that can be used to classify objects (e.g. individuals, species, etc). Cluster analysis is a tool of
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