Feature Selection Using Correlation Analysis and Principal Component Analysis for Accurate Breast Cancer Diagnosis

Breast cancer is one of the leading causes of death among women, more so than all other cancers. The accurate diagnosis of breast cancer is very difficult due to the complexity of the disease, changing treatment procedures and different patient population samples. Diagnostic techniques with better p...

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Auteurs principaux:	Sara Ibrahim, Saima Nazir, Sergio A. Velastin
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2021-10-01
Collection:	Journal of Imaging
Sujets:	breast cancer diagnosis Wisconsin Breast Cancer Dataset feature selection dimensionality reduction principal component analysis ensemble method
Accès en ligne:	https://www.mdpi.com/2313-433X/7/11/225
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