Divisive hierarchical clustering based on adaptive resonance theory
Divisive hierarchical clustering is a powerful tool for extracting knowledge from data with a pluralistic and appropriate information granularity. Recent developments of hierarchical clustering algorithms apply Growing Neural Gas (GNG) to data divisive mechanisms. However, GNG-based algorithms tend...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
IEEE
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/37205/ |
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