Target group
Intermediate- or senior-level statisticians, data analysts, and data miners
Course structure
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.
