Hierarchical probabilistic principal component subspaces for data visualization.
Yue Joseph WangLan LuoMatthew T. FreedmanSun-Yuan KungPublished in: IJCNN (1999)
Keyphrases
- data visualization
- principal components
- principal component analysis
- data analysis
- visual data mining
- data mining
- interactive visualization
- big data
- data exploration
- knowledge discovery
- dimensionality reduction
- information visualization
- visualization methods
- hyperplane
- principal component regression
- low dimensional
- parallel coordinates
- multivariate data
- high dimensional
- exploratory data analysis
- principal curves
- multidimensional data sets
- data mining and visualization
- principal components analysis
- feature extraction
- high dimensional data
- interactive visual
- kernel space
- multi dimensional
- unsupervised learning
- dimension reduction
- knowledge discovery process
- similarity measure
- face recognition