Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework.
Han ZhangWenhao ZhengCharley ChenKevin GaoYao HuLing HuangWei XuPublished in: CoRR (2020)
Keyphrases
- high dimensional data
- low dimensional
- dimensionality reduction
- data points
- nearest neighbor
- high dimensionality
- high dimensional
- high dimensions
- data sets
- dimension reduction
- probabilistic model
- unsupervised learning
- clustering high dimensional data
- similarity search
- manifold learning
- high dimensional datasets
- pairwise
- data analysis
- generative model
- linear discriminant analysis
- principal component analysis
- active learning
- text data
- subspace clustering
- lower dimensional
- dimensional data
- locally linear embedding