Hierarchical clustering: Difference between revisions
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Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that groups similar objects into groups called clusters.<ref>[https://www.displayr.com/what-is-hierarchical-clustering/ What is Hierarchical Clustering?]displayr.com</ref> | |||
== Strategies == | == Strategies == | ||
Strategies for hierarchical clustering generally fall into two types<ref name="intro">[https://www.coursera.org/learn/machine-learning-with-python/lecture/cHku3/intro-to-hierarchical-clustering Intro to Hierarchical Clustering]Coursera</ref>: | Strategies for hierarchical clustering generally fall into two types<ref name="intro">[https://www.coursera.org/learn/machine-learning-with-python/lecture/cHku3/intro-to-hierarchical-clustering Intro to Hierarchical Clustering]Coursera</ref>: | ||
Revision as of 00:02, 1 April 2020
Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that groups similar objects into groups called clusters.[1]
Strategies
Strategies for hierarchical clustering generally fall into two types[2]:
- Divisive:
- Agglomerative:
References
- ↑ What is Hierarchical Clustering?displayr.com
- ↑ Intro to Hierarchical ClusteringCoursera