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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.
Getting started
Browse package contents
Package details |
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| Author | Roberto Alcantara [aut, cre], Juan Jose Cuadrado [aut], Universidad de Alcala de Henares [aut] |
| Maintainer | Roberto Alcantara <roberto.alcantara@edu.uah.es> |
| License | Unlimited |
| Version | 1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the LearnClust package in your browser
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