Exercise

1. Descriptive

1.2 Segmentation

3) Two-step clustering

Advantages/disadvantages

Silhouette coefficient as a measure of cluster quality  and evaluation fields

1. Descriptive

1.2 Segmentation

What is the best solution using both methods hierarchical method and k-means (contingency table and Cramer´s V)

Plot the stacked-bar graph to visualize the best solution.

1. Descriptive

1.2 Segmentation

Segmentation Methods: 

2) k-Means

Interpretation of the outputs: final center cluster, distance from clusters, cluster membership, Anova table, and cluster information for each case

Plot the line graph to visualize the final center cluster