Clustering and association

What you should know

Using the exercise files

What is unsupervised machine learning?

Looking at the data with a 2D scatter plot

Understanding hierarchical cluster analysis

Running hierarchical cluster analysis

Interpreting a dendrogram

Methods for measuring distance

What is k-nearest neighbors?

How does k-means work?

Which variables should be used with k-means?

Interpreting a box plot

Running a k-means cluster analysis

Interpreting cluster analysis output

What does silhouette mean?

Which cases should be used with k-means?

Finding optimum value for k: k = 3

Finding optimum value for k: k = 4

Finding optimum value for k: k = 5

What the best solution?

Summarizing cluster means in a table

Traffic Light feature in Excel

Line graphs

How does HDBSCAN work?

An HDBSCAN example

Relating clusters to categories statistically

Relating clusters to categories visually

Running a multiple correspondence analysis

Interpreting a perceptual map

Using cluster analysis and decision trees together

A BIRCH/two-step example

A self organizing map example

The k = 1 trick

Anomaly detection algorithms

Using SOM for anomaly detection

One Class SVM

Intro to association rules and sequence analysis

Running association rules

Some association rules terminology

Interpreting association rules

Putting association rules to use

Comparing clustering and association rules

Sequence detection

Next steps