LearnClust
Learning Hierarchical Clustering Algorithms
Classical hierarchical clustering algorithms, agglomerative and divisive clustering. Algorithms are implemented as a theoretical way, step by step. It includes some detailed functions that explain each step. Every function allows options to get different results using different techniques. The package explains non expert users how hierarchical clustering algorithms work.
- Version1.1
- R versionunknown
- LicenseUnlimited
- Needs compilation?No
- Last release11/29/2020
Documentation
Team
Roberto Alcantara
Juan Jose Cuadrado
Show author detailsRolesAuthorUniversidad de Alcala de Henares
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Dependencies
- Depends1 package
- Suggests2 packages