Cluster Analysis - K-Means Clustering
Cluster Analysis is a technique of Unsupervised Learning in which objects (observations) similar to each other but distinct from other are marked in a group or Cluster. Cluster analysis is also called classification analysis. Cluster Analysis can be done by two methods : 1. Hierarchical Clustering and K-Means Clustering.
In this part we are covering SAS hands on session of second type of Cluster Analysis : K-Means Clustering.
Related links:
Cluster Analysis - Hierarchical Clustering - Part 1
Cluster Analysis - Hierarchical Clustering - Part 2
Cluster Analysis - Hierarchical Clustering - Part 2
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