Development of High-dimensional Data Sparse Modeling in Data Space and Its Application in Manufacturing Multi-value Chain Collaboration.
Zhuxiao TianXiwen CuiDongyu WangDongxiao NiuHuanfen ZhangPublished in: CSCWD (2022)
Keyphrases
- high dimensional data
- low dimensional
- high dimensional
- data points
- dimensionality reduction
- input space
- original data
- dimensional data
- data distribution
- high dimensions
- data sets
- complex data
- data analysis
- high dimensional spaces
- high dimensionality
- sparse representation
- knowledge discovery
- variable selection
- lower dimensional
- dimension reduction
- similarity search
- missing data
- database
- input data
- nearest neighbor
- manifold learning
- feature space
- pattern recognition
- data structure
- training data
- real world
- neural network
- survival analysis
- high dimensional data sets
- underlying manifold