A relief-TOPSIS based feature selection for high-dimensional data

Since their emergence, high dimensional data have imposed a big challenge to researchers given their complexities. To deal with this problem, using feature selection is the best solution, it plays a very important role in high dimensional data analysis. This process will first allow us to extract th...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Janane, Fatima Zahra, Ouaderhman, Tayeb, Chamlal, Hasna
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithms Classification Data analysis Dimensional analysis Feature selection Machine learning Redundancy
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!