Feature Selection Using Correlation Analysis and Principal Component Analysis for Accurate Breast Cancer Diagnosis.
Sara IbrahimSaima NazirSergio A. VelastinPublished in: J. Imaging (2021)
Keyphrases
- correlation analysis
- breast cancer diagnosis
- feature selection
- principal component analysis
- dimensionality reduction
- breast cancer
- cluster analysis
- correlation coefficient
- regression analysis
- feature extraction
- feature space
- principal components
- independent component analysis
- machine learning
- cancer diagnosis
- covariance matrix
- text classification
- feature set
- factor analysis
- unsupervised learning
- classification accuracy
- support vector
- text categorization
- linear discriminant analysis
- supervised learning
- face recognition
- data sets