Its functionality includes exploratory data analysis, data segmentation and data visualization.It is designed to handle realistic data sets : hedonic data set and sensory data set. It makes use of several clustering methods as well as the implementation of partition-validity approach. Finally, a graphical user interface is implemented with R shiny in order to propose a user friendly package.
Package details |
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Author | Bouzidi Imen <bouzidi.imenn@gmail.com> |
Maintainer | Package maintainer <bouzidi.imenn@gmail.com> |
License | GPL-3 |
Version | 0.1.0 |
URL | https://github.com/BouzidiImen/ClusteringR |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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