Improved local fisher discriminant analysis based dimensionality reduction for cancer disease prediction.
P. N. Senthil PrakashN. RajkumarPublished in: J. Ambient Intell. Humaniz. Comput. (2021)
Keyphrases
- dimensionality reduction
- outcome prediction
- supervised dimensionality reduction
- prediction accuracy
- ovarian cancer
- data representation
- breast cancer
- low dimensional
- high dimensional data
- linear discriminant analysis
- prediction model
- bladder cancer
- dna microarray
- linear transformation
- manifold learning
- early diagnosis
- neural network
- feature selection
- copy number
- kernel trick
- high dimensional
- preprocessing step
- input space
- high dimensionality
- principal components analysis
- dimensionality reduction methods
- pattern recognition
- principal components
- principal component analysis
- structure preserving
- data sets
- cancer patients
- feature extraction
- outbreak detection
- machine learning
- colorectal cancer