Density estimation of high dimensional data using ICA and Bayesian networks.
Abdenebi RouiguebSalim ChitroubAhmed BouridanePublished in: Intell. Data Anal. (2014)
Keyphrases
- high dimensional data
- density estimation
- bayesian networks
- independent component analysis
- dimensionality reduction
- low dimensional
- probability density function
- mixture model
- principal component analysis
- nearest neighbor
- probability density
- high dimensional
- data sets
- data analysis
- high dimensionality
- dimension reduction
- density function
- face recognition
- probability distribution
- outlier detection
- subspace clustering
- missing values
- data distribution
- similarity search
- data points
- feature extraction
- manifold learning
- gaussian mixture model
- probabilistic model
- input space
- lower dimensional
- random variables
- linear discriminant analysis
- input data
- em algorithm
- small sample size
- sparse representation
- distance function
- generative model
- expectation maximization