Data-driven dimension reduction in functional principal component analysis identifying the change-point in functional data.
Buddhananda BanerjeeArnab K. LahaArjun LakraPublished in: Stat. Anal. Data Min. (2020)
Keyphrases
- dimension reduction
- principal component analysis
- data driven
- high dimensional data
- data sets
- data sources
- data analysis
- image data
- neural network
- low dimensional
- pattern recognition
- dimensionality reduction
- data mining algorithms
- singular value decomposition
- linear discriminant analysis
- machine learning
- high dimensional
- feature extraction
- feature selection
- computer vision
- random projections