Dimension Reduction on Open Data Using Variational Autoencoder.
Hyunmin LeeZhen Hao WuZhaolei ZhangPublished in: ICDM Workshops (2018)
Keyphrases
- dimension reduction
- open data
- linked data
- world wide
- open government data
- high dimensional
- feature extraction
- principal component analysis
- linear discriminant analysis
- singular value decomposition
- image segmentation
- feature selection
- high dimensional data
- high dimensional problems
- low dimensional
- optical flow
- design choices
- cluster analysis
- feature space
- nearest neighbor
- preprocessing
- semantic web
- high dimensionality
- unsupervised learning
- dimensionality reduction
- support vector machine svm
- databases
- web browser
- data analysis
- training data
- qr decomposition
- real world