gabiborges1/kfact: Clustering Analysis in Categorical Data with Kfact
An implementation of Kfact, an alternative unsupervised learning algorithm to do clustering analysis in categorical data. This package also include many distance measures and index's of qualitative variation.
Getting started
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Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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