Feature reduction with PCA/KPCA for gait classification with different assistive devices.
Maria M. MartinsCristina P. SantosLino A. CostaAnselmo FrizeraPublished in: Int. J. Intell. Comput. Cybern. (2015)
Keyphrases
- feature reduction
- linear discriminant analysis
- rough sets
- text categorization
- classification accuracy
- feature set
- principal component analysis
- principal components analysis
- feature extraction
- feature space
- feature selection
- support vector machine
- reduction method
- random forest
- k nearest neighbor
- kernel principal component analysis
- classification algorithm
- face recognition
- texture segmentation
- knn
- feature vectors
- dimensionality reduction
- viterbi algorithm
- rough set theory
- kernel pca
- support vector
- pattern recognition
- classification method
- text classification
- decision rules
- unsupervised learning
- image analysis
- subspace methods
- high dimensional feature space
- principle component analysis
- multi class
- data analysis
- class labels
- support vector machine svm
- low dimensional
- image processing