Hierarchical clustering

Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that groups similar objects into groups called clusters.

Strategies

Strategies for hierarchical clustering generally fall into two types:

• Divisive:
• Agglomerative:

Advantages vs disadvantages

Advantages

• Hierarchical clustering does not require the number of clusters to be specified.
• It is easy to implement.
• Hierarchical clustering produces a dendogram, which hlps with understanding the data.