Dimension reduction for p53 protein recognition by using incremental partial least squares.
Xue-Qiang ZengGuo-Zheng LiPublished in: BIBM (2013)
Keyphrases
- dimension reduction
- partial least squares
- feature extraction
- principal component analysis
- unsupervised learning
- high dimensional
- object recognition
- high dimensionality
- random projections
- preprocessing
- low dimensional
- variable selection
- discriminant analysis
- feature selection
- dimensionality reduction
- high dimensional data
- cluster analysis
- linear discriminant analysis
- pattern recognition
- singular value decomposition
- incremental learning
- feature space
- data sets
- data mining
- image processing
- neural network
- sample size
- support vector machine svm
- image data
- image classification