文章基本信息

标题：Fuzzy Clustering with Particle Swarm Intelligence for Large Dataset Classification
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作者：Ashit Kumar Dutta
期刊名称：TEM Journal
印刷版ISSN：2217-8309
电子版ISSN：2217-8333
出版年度：2018
卷号：7
期号：4
页码：738-743
DOI：10.18421/TEM74-06
语种：English
出版社：UIKTEN
摘要：The most challenging problem in data mining is deriving knowledge from large dataset. Existing methods have better performance in medium – scale dataset but the level of performance degrades in large datasets. Swarm intelligence (SI) is a computational method to solve complex problems inspired from biological phenomena like flock of birds, shoal of fish,herd of sheep and swarm of bees. The ant colony optimization is the multi-agent system solving of problems through cooperation like ants. Particle swarm optimization (PSO) is one of the methods successfully implemented with fuzzy concepts and solved complex problems. The objective of the research is to classify the large dataset using fuzzy clustering with PSO. The experiment results proved that the proposed method is more effective and produces optimum accuracy.
关键词：Swarm intelligence;Particle swarm optimization;Fuzzy clustering;Classification;Clustering.