Accurate and efficient classification based on common principal components analysis for multivariate time series.
Hailin LiPublished in: Neurocomputing (2016)
Keyphrases
- principal components analysis
- multivariate time series
- pattern recognition
- feature extraction
- support vector machine
- covariance matrix
- decision trees
- dimensionality reduction
- support vector machine svm
- text classification
- principal components
- classification accuracy
- data mining
- support vector
- dimension reduction
- temporal data
- unsupervised learning
- linear discriminant analysis
- non stationary
- neural network
- feature selection
- high dimensional data
- preprocessing
- data sets
- data streams
- training set