Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease.
Luyan LiuQian WangEhsan AdeliLichi ZhangHan ZhangDinggang ShenPublished in: MICCAI (2) (2016)
Keyphrases
- canonical correlation analysis
- automatic diagnosis
- feature selection
- spect images
- canonical correlations
- early detection
- diagnostic tool
- partial least squares
- least squares
- dimensionality reduction methods
- dimensionality reduction
- mutual information
- text categorization
- early diagnosis
- multi class
- feature space
- machine learning
- feature set
- text classification
- classification accuracy
- feature extraction
- equivalence relationship
- support vector
- preprocessing step
- intraoperative
- dimension reduction
- high dimensionality
- data mining
- statistical analysis
- support vector machine
- face recognition
- image sequences