Causal discovery on high dimensional data.
Zhifeng HaoHao ZhangRuichu CaiWen WenZhihao LiPublished in: Appl. Intell. (2015)
Keyphrases
- high dimensional data
- causal discovery
- causal models
- causal relationships
- nearest neighbor
- low dimensional
- dimensionality reduction
- causal structure
- bayesian networks
- high dimensional
- discovery process
- high dimensionality
- subspace clustering
- data sets
- data points
- dimension reduction
- data analysis
- similarity search
- conditional independence
- directed acyclic graph
- clustering high dimensional data
- manifold learning
- markov blanket
- high dimensional spaces
- missing values
- input data
- image data
- neural network
- influence diagrams
- variable selection
- dimensional data
- clustering algorithm
- data mining