purpose of Cluster Analysis
to form segments
purpose of discriminant analysis
to describe segments
How things are clustered in K Means
Randomly Assign a point to the nearest cluster/centroid and then recompute the center of the cluster. repeat
In Hierarchical
Unknown number of clusters. Join the two items that are the closest, then join the next two closest points. Either join them to form a new group or attach them to an existing cluster.
How does Classification analysis relate to Cluster and Discriminant analysis
Cluster analysis +Discriminant analysis imply a predictive rule for Classification.
Use predictive rule on new discriminant data to predict cluster assignments