Mixture models for learning low-dimensional roles in high-dimensional data.
Manas SomaiyaChristopher M. JermaineSanjay RankaPublished in: KDD (2010)
Keyphrases
- high dimensional data
- low dimensional
- mixture model
- high dimensional
- dimensionality reduction
- unsupervised learning
- input space
- subspace clustering
- dimension reduction
- manifold learning
- high dimensionality
- gaussian mixture model
- data sets
- learning algorithm
- nearest neighbor
- probabilistic model
- model selection
- feature space
- automatic model selection
- data points
- similarity search
- principal component analysis
- language model
- feature extraction
- subspace learning
- image data
- linear discriminant analysis
- active learning
- maximum likelihood
- pattern recognition
- reinforcement learning
- density estimation
- high dimensional spaces
- nonlinear dimensionality reduction
- clustering high dimensional data
- em algorithm