Missing value imputation using a novel grey based fuzzy c-means, mutual information based feature selection, and regression model

•A new hybrid method for the imputation of missing values is proposed.•The method is based on a novel fuzzy c-means, mutual information, and regression.•Performance of imputation increases by using Grey in the fuzzy c-means algorithm.•The proposed method outperforms five existing imputation methods,...

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Veröffentlicht in:	Expert systems with applications 2019-01, Vol.115, p.68-94
Hauptverfasser:	Sefidian, Amir Masoud, Daneshpour, Negin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Clustering Decision making Fuzzy c-means Grey relational analysis Knowledge discovery Missing data Missing data imputation Mutual information Quality Regression Regression models
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