Credibilistic fuzzy clustering based on evolutionary method of crazy cats
نویسندگان
چکیده
The problem of fuzzy clustering large datasets that are sent for processing in both batch and online modes, based on a credibilistic approach, is considered. To find the global extremum goal function, modification swarm algorithm crazy cats swarms was introduced, combined advantages evolutionary algorithms random search. It shown different search modes generated by unified mathematical procedure, some cases which known local optimizations. proposed approach easy to implement characterized high speed reliability problems multi-extreme clustering.
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ژورنال
عنوان ژورنال: Sistemnì doslìdžennâ ta ìnformacìjnì tehnologìï
سال: 2021
ISSN: ['1681-6048', '2308-8893']
DOI: https://doi.org/10.20535/srit.2308-8893.2021.3.09