Data Clustering Method Based on Improved Bat Algorithm With Six Convergence Factors and Local Search Operators

Data Clustering Method Based on Improved Bat Algorithm With Six Convergence Factors and Local Search Operators

Clustering as an unsupervised learning method is a process of dividing a data object or observation object into a subset, that is to classify the data through observation learning instead of example learning without the guidance of the prior class label information. Bat algorithm (BA) is a swarm int...

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Bibliographic Details
Main Authors: L. F. Zhu, J. S. Wang, H. Y. Wang, S. S. Guo, M. W. Guo, W. Xie
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Clustering
bat algorithm
convergence factor
hunting mechanism
sinusoidal position update strategy
Online Access:https://ieeexplore.ieee.org/document/9079808/

Internet

https://ieeexplore.ieee.org/document/9079808/

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