A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution
Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. The proposed model examine...
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| Main Authors: | , , , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
Springer International Publishing
2018
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/22920/1/A%20New%20Hybrid%20K-Means%20Evolving%20Spiking%20Neural%20Network%20Model%20Based%20on%20Differential%20Evolution%20-%20Copy.pdf http://ir.unimas.my/id/eprint/22920/ https://link.springer.com/chapter/10.1007/978-3-319-59427-9_60 |
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