An empirical study on finding experience sampling parameters to explain sleep quality based on dimension reduction.
Jiyoun LimSeungeun ChungKyoung Ju NohGague KimHyun-Tae JeongPublished in: ICTC (2019)
Keyphrases
- dimension reduction
- parameter space
- feature extraction
- high dimensional
- principal component analysis
- high dimensional data
- high dimensional problems
- partial least squares
- data mining and machine learning
- unsupervised learning
- manifold learning
- linear discriminant analysis
- variable selection
- low dimensional
- feature selection
- dimensionality reduction
- cluster analysis
- random projections
- high dimensionality
- singular value decomposition
- feature space
- high dimensional data analysis
- expectation maximization
- random sampling
- neural network
- least squares
- preprocessing
- computer vision
- manifold embedding
- data sets