An Improvement of PAA for Dimensionality Reduction in Large Time Series Databases.
Nguyen Quoc Viet HungDuong Tuan AnhPublished in: PRICAI (2008)
Keyphrases
- dimensionality reduction
- high dimensional
- high dimensional data
- low dimensional
- feature extraction
- high dimensionality
- data representation
- principal component analysis
- feature space
- pattern recognition
- similarity search
- dimension reduction
- principal components
- structure preserving
- preprocessing step
- euclidean distance
- manifold learning
- data points
- significant improvement
- random projections
- feature selection
- data sets
- pattern recognition and machine learning
- dimensionality reduction methods
- graph embedding
- linear discriminant analysis
- active learning
- case study
- machine learning
- neural network
- databases