Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework.
Han ZhangWenhao ZhengCharley ChenKevin GaoYao HuLing HuangWei XuPublished in: WWW (2020)
Keyphrases
- high dimensional data
- dimensionality reduction
- nearest neighbor
- high dimensional
- low dimensional
- subspace clustering
- high dimensions
- manifold learning
- data mining
- high dimensionality
- data analysis
- unsupervised learning
- input space
- data points
- input data
- real world
- lower dimensional
- dimension reduction
- linear discriminant analysis
- similarity search
- sparse representation
- image processing
- multi dimensional
- subspace learning
- high dimensional spaces
- distance measure
- nonlinear dimensionality reduction