fussclust
Fuzzy Unsupervised and Semi-Supervised Clustering
Methods for distance-based fuzzy unsupervised and semi-supervised clustering, including fuzzy and possibilistic models based on alternating optimization (AO) algorithm. The package introduces a vectorized estimation framework for prototype-based fuzzy clustering algorithms, enabling modular algorithm design and extensibility. It also supports storage and retrieval of intermediate AO optimization results for downstream analysis and processing. For more details see Kmita et al. (2024) <doi:10.1109/TFUZZ.2024.3370768>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | fussclust_0.1.0.tar.gz |
78.4 KiB |
0.1.0 |
rolling linux/noble R-4.5 | fussclust_0.1.0.tar.gz |
78.9 KiB |
0.1.0 |
rolling source/ R- | fussclust_0.1.0.tar.gz |
26.9 KiB |
0.1.0 |
latest linux/jammy R-4.5 | fussclust_0.1.0.tar.gz |
78.4 KiB |
0.1.0 |
latest linux/noble R-4.5 | fussclust_0.1.0.tar.gz |
78.9 KiB |
0.1.0 |
latest source/ R- | fussclust_0.1.0.tar.gz |
26.9 KiB |
0.1.0 |
2026-04-23 source/ R- | fussclust_0.1.0.tar.gz |
0 B |