Max-Relevance and Min-Redundancy Greedy Bayesian Network Learning on High Dimensional Data.
Feng LiuQiLiang ZhuPublished in: ICNC (1) (2007)
Keyphrases
- high dimensional data
- bayesian network learning
- bayesian networks
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensional
- data analysis
- data sets
- high dimensionality
- data points
- dimension reduction
- subspace clustering
- similarity search
- parameter learning
- missing values
- sparse representation
- dimensional data
- high dimensional spaces
- high dimensional datasets
- manifold learning
- clustering high dimensional data
- input data
- feature space
- feature selection
- information retrieval
- neural network
- learning algorithm
- locally linear embedding
- machine learning