Optimization Of The Maximum Likelihood Estimator For Determining The Intrinsic Dimensionality Of High-Dimensional Data.
Rasa KarbauskaiteGintautas DzemydaPublished in: Int. J. Appl. Math. Comput. Sci. (2015)
Keyphrases
- high dimensional data
- intrinsic dimensionality
- dimensionality reduction
- maximum likelihood estimator
- intrinsic dimension
- low dimensional
- low dimensional manifolds
- high dimensional
- high dimensionality
- nearest neighbor
- data points
- principal component analysis
- manifold learning
- similarity search
- vector space
- data analysis
- nonlinear dimensionality reduction
- feature space
- low rank
- feature extraction
- singular values
- feature selection
- noisy data
- pattern recognition
- missing values
- unsupervised learning
- convex optimization
- maximum likelihood
- locally linear embedding
- knn
- computer vision
- neural network