K-Means Clustering Algorithm Based on Chaotic Adaptive Artificial Bee Colony

K-Means Clustering is a popular technique in data analysis and data mining. To remedy the defects of relying on the initialization and converging towards the local minimum in the K-Means Clustering (KMC) algorithm, a chaotic adaptive artificial bee colony algorithm (CAABC) clustering algorithm is pr...

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書目詳細資料

Principais autores:	Qibing Jin, Nan Lin, Yuming Zhang
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2021-02-01
叢編:	Algorithms
主題:	artificial bee colony (ABC) algorithm K-means clustering (KMC) algorithm chaos algorithm Metropolis algorithm simulated annealing
在線閱讀:	https://www.mdpi.com/1999-4893/14/2/53
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