fussclust
0.1.0Fuzzy Unsupervised and Semi-Supervised Clustering
Overview
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>.
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- OK2026-06-036 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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15 4 exported
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3.9 avg / 17 max
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15 nodes / 18 edges
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- 0.1.0Latest2026-06-02 · current release
Package metadata
- First published
- 2026-06-02
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
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