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  "Description": "Methods for distance-based fuzzy unsupervised and\nsemi-supervised clustering, including fuzzy and possibilistic\nmodels based on alternating optimization (AO) algorithm. The\npackage introduces a vectorized estimation framework for\nprototype-based fuzzy clustering algorithms, enabling modular\nalgorithm design and extensibility. It also supports storage\nand retrieval of intermediate AO optimization results for\ndownstream analysis and processing. For more details see Kmita\net al. (2024) <doi:10.1109/TFUZZ.2024.3370768>.",
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