F1-ECAC: Enhanced Evolutionary Clustering Using an Ensemble of Supervised Classifiers
Clustering is an unsupervised learning technique used in data mining for finding groups with increased object similarity within but not between them. However, the absence of a-priori knowledge on the optimal clustering criterion, and the strong bias of traditional algorithms towards clusters with a...
Main Authors: | Benjamin M. Sainz-Tinajero, Andres E. Gutierrez-Rodriguez, Hector G. Ceballos, Francisco J. Cantu-Ortiz |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9551203/ |
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