Applied Clustering Techniques

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Introduction to Clustering

• Overview.
• Types of clustering in this course.

Preparation for Clustering

• Sample selection.
• Variable selection.
• Variable standardization.
• Graphical aids to clustering.
• Within cluster variable transformation.

Hierarchical Clustering

• Measuring similarity.
• Hierarchical clustering methods.
• Determining the number of clusters.

k

• k
• k
• Determining the number of clusters.

Nonparametric Clustering

• Nonparametric clustering.
• Practices.

Cluster Profiling and Scoring

• Cluster profiling.
• Scoring new observations.

Appendix A: Canonical Discriminant Analysis (CDA) Plots

Appendix B: Fuzzy Clustering

Appendix C: Assessing Multivariate Normality

Appendix D: References