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>.
[aut,
cre, cph]