A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
出版年份 2022 全文链接
标题
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
作者
关键词
Clustering, Clustering algorithms, partitioning, Data mining, Hierarchical clustering, Automatic clustering, K-Means, Optimization algorithms, Machine learning, Unsupervised learning, Supervised learning
出版物
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 110, Issue -, Pages 104743
出版商
Elsevier BV
发表日期
2022-02-24
DOI
10.1016/j.engappai.2022.104743
参考文献
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