Hidden Markov model-based classification of heart valve disease with PCA for dimension reduction.
Ridvan SaraçogluPublished in: Eng. Appl. Artif. Intell. (2012)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- principle component analysis
- feature space
- dimension reduction methods
- high dimensional problems
- high dimensional
- feature selection
- high dimensionality
- singular value decomposition
- data mining and machine learning
- low dimensional
- dimensionality reduction
- discriminative information
- linear discriminant analysis
- manifold learning
- random projections
- preprocessing
- feature subspace
- variable selection
- unsupervised learning
- partial least squares
- high dimensional data
- cluster analysis
- principal components
- face recognition
- discriminant analysis
- data mining
- supervised learning
- least squares
- pattern recognition
- support vector
- decision trees
- machine learning