Revisiting Computational Thermodynamics through Machine Learning of High-Dimensional Data.
Srikant SrinivasanKrishna RajanPublished in: Comput. Sci. Eng. (2013)
Keyphrases
- high dimensional data
- machine learning
- data analysis
- dimensionality reduction
- high dimensional
- nearest neighbor
- low dimensional
- high dimensionality
- high dimensions
- similarity search
- data sets
- data points
- subspace clustering
- clustering high dimensional data
- high dimensional spaces
- pattern recognition
- data distribution
- original data
- manifold learning
- dimensional data
- dimension reduction
- subspace learning
- high dimensional datasets
- nonlinear dimensionality reduction
- input space
- variable selection
- input data
- lower dimensional
- sparse representation
- linear discriminant analysis
- support vector machine
- decision trees
- text data
- text mining
- learning algorithm
- small sample size
- principal component analysis
- information extraction
- knowledge discovery
- query processing
- high dimensional data sets
- neural network