Hierarchical Clustering - Part 1 - Video Tutorial

Cluster Analysis - Hierarchical 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 theory of first type of Cluster Analysis : Hierarchical Clustering.

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Related links:

Cluster Analysis - Hierarchical Clustering - Part 1

Cluster Analysis - Hierarchical Clustering - Part 2

Cluster Analysis - K-Means Clustering - Part 1

Cluster Analysis - K-Means Clustering - Part 2

Difference between Hierarchical and K-means Clustering

Cluster Analysis - Ready Reckoner

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