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

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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Bibliographic Details
Main Authors: Qibing Jin, Nan Lin, Yuming Zhang
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Algorithms
Subjects:
artificial bee colony (ABC) algorithm
K-means clustering (KMC) algorithm
chaos algorithm
Metropolis algorithm
simulated annealing
Online Access:https://www.mdpi.com/1999-4893/14/2/53

Internet

https://www.mdpi.com/1999-4893/14/2/53

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