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Provost: Ch 6: Clustering and Beyond (Hierarchical Clustering (link…
Provost: Ch 6: Clustering and Beyond
Clustering
Finding similar groups
H
Hierarchical Clustering
consider individual points separately
link function
consider two points to be clusters
Dedogram
a way to visualize hierarchical clusters
Unsupervised Segementation
no target variable
High intra-group similarity
High inter group distance
Centroid Based Clustering
Consider whole group at once
K means is centroid clustering algorithm
Understanding Results of Cluster
Labeling different clusters
average dimension values
what makes cluster unique
supervised learning to describe cluster