Comparison of Dimension Reduction Methods for Multivariate Time Series Pattern Recognition.
Patrick PetersenHanno StagePhilipp ReisJonas RauchEric SaxPublished in: ICPRAM (2024)
Keyphrases
- multivariate time series
- pattern recognition
- dimension reduction methods
- dimension reduction
- multivariate time series data
- image processing
- feature extraction
- neural network
- computer vision
- machine learning
- data mining
- dimensionality reduction
- principal component analysis
- supervised learning
- clustering method
- singular value decomposition
- nearest neighbor
- temporal data
- spatial structure
- support vector machine
- high dimensional
- association rules