F1-ECAC: Enhanced Evolutionary Clustering Using an Ensemble of Supervised Classifiers

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...

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Bibliographic Details
Main Authors: Benjamin M. Sainz-Tinajero, Andres E. Gutierrez-Rodriguez, Hector G. Ceballos, Francisco J. Cantu-Ortiz
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Unsupervised learning
clustering
evolutionary clustering
optimization
classifier ensembles
Online Access:https://ieeexplore.ieee.org/document/9551203/

Internet

https://ieeexplore.ieee.org/document/9551203/

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