A New Under-Sampling Method to Face Class Overlap and Imbalance

A New Under-Sampling Method to Face Class Overlap and Imbalance

Class overlap and class imbalance are two data complexities that challenge the design of effective classifiers in Pattern Recognition and Data Mining as they may cause a significant loss in performance. Several solutions have been proposed to face both data difficulties, but most of these approaches...

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Bibliographic Details
Main Authors: Angélica Guzmán-Ponce, Rosa María Valdovinos, José Salvador Sánchez, José Raymundo Marcial-Romero
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
class imbalance
class overlap
under-sampling
clustering
DBSCAN
minimum spanning tree
Online Access:https://www.mdpi.com/2076-3417/10/15/5164

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