Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow.
Fermín SegoviaMarcelo García-PérezJuan Manuel GórrizJavier RamírezFrancisco Jesús Martínez-MurciaPublished in: SOCO-CISIS-ICEUTE (2016)
Keyphrases
- principal component analysis
- principal components
- discriminant analysis
- fault diagnosis
- dimensionality reduction
- face recognition
- dimension reduction
- low dimensional
- medical diagnosis
- feature extraction
- linear discriminant analysis
- independent component analysis
- feature space
- covariance matrix
- model based diagnosis
- fault detection
- diagnostic reasoning
- medical diagnostic
- automatic diagnosis
- pattern recognition
- singular value decomposition
- diagnosis of discrete event systems
- machine learning
- root cause
- dimension reduction methods