evclust
Evidential Clustering
Various clustering algorithms that produce a credal partition, i.e., a set of Dempster-Shafer mass functions representing the membership of objects to clusters. The mass functions quantify the cluster-membership uncertainty of the objects. The algorithms are: Evidential c-Means, Relational Evidential c-Means, Constrained Evidential c-Means, Evidential Clustering, Constrained Evidential Clustering, Evidential K-nearest-neighbor-based Clustering, Bootstrap Model-Based Evidential Clustering, Belief Peak Evidential Clustering, Neural-Network-based Evidential Clustering.
- Version2.0.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release11/09/2023
Documentation
Team
Thierry Denoeux
Insights
Last 30 days
This package has been downloaded 309 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.
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Last 365 days
This package has been downloaded 4,630 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 141 downloads.
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Dependencies
- Imports7 packages
- Suggests2 packages
- Reverse Imports1 package