Cluster Analysis and its Applications

Target AudienceAn applied training session in statistics intended for all the scientific staff collecting large datasets and wishing to graphically summarizing them and identifying groups.

AimsIt 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 discovery.

PrerequisitesThis one-day workshop introduces the important ideas in statistics and data analysis. It assumed that participants have no previous knowledge of statistics or that they have not used it for a long time.

This is primarily ilt training This class may involve group study This class may be available at a classroom in Montreal, QC, Contact Creascience for more information

Duration: 1 days Training Presented in: English

Topics Covered

• Reasons for classifying
• Different methods available
• How to select a method
• Display results with dendrograms (tree diagram)
• Determine the number of clusters
• Validate and interpret clusters
• Case studies
• Software tools for performing cluster analysis

• cole d' t sur les analyses multidimensionnelles
• Fundamental Tools in Statistics
• Introduction aux tudes de dur e de vie et de stabilit
• Introduction to the Design of Experiments
• L'analyse de classification et ses applications
• L'analyse en composantes principales et ses applications
• Les outils essentiels de la statistiques
• Life, Reliability and Survival Models
• Logistic Regression
• Logistic Regression
• Multivariate Data Analysis Summer School
• Nonlinear Regression
• Principal Component Analysis and its Applications
• Regression on Principal Components and PLS Regression
• Simple and Multiple Linear Regression Techniques
• Workshop on Regression Techniques