Efficient data structures for density estimation for large high-dimensional data.
Aref MajdaraSaeid NooshabadiPublished in: ISCAS (2017)
Keyphrases
- density estimation
- high dimensional data
- efficient data structures
- data structure
- high dimensional
- nearest neighbor
- low dimensional
- dimensionality reduction
- mixture model
- high dimensionality
- data sets
- probability density function
- similarity search
- probability density
- subspace clustering
- data analysis
- data points
- manifold learning
- density function
- data distribution
- dimension reduction
- outlier detection
- linear discriminant analysis
- input space
- gaussian mixture model
- missing values
- lower dimensional
- sparse representation
- em algorithm
- input data
- pattern recognition
- training set
- training data