Improving the Quality of Clustering-Based Diagnostic Rules by Lowering Dimension of the Cluster Prototypes

Porębski, Sebastian; Straszecka, Ewa

doi:10.1007/978-3-030-19738-4_6

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Improving the Quality of Clustering-Based Diagnostic Rules by Lowering Dimension of the Cluster Prototypes

Cited by 3 publications

References 14 publications

Evaluation of fuzzy membership functions for linguistic rule-based classifier focused on explainability, interpretability and reliability

Evaluation of fuzzy membership functions for linguistic rule-based classifier focused on explainability, interpretability and reliability

Clustering with ε-Hyperballs Based Simplification of Fuzzy Rules to Support the Assessment of Fetal State

Combining ε-similar Fuzzy Rules for Efficient Classification of Cardiotocographic Signals

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