DROP: Dimensionality Reduction Optimization for Time Series.
Sahaana SuriPeter BailisPublished in: CoRR (2017)
Keyphrases
- dimensionality reduction
- global optimization
- discrete optimization
- optimization algorithm
- pattern recognition and machine learning
- random projections
- constrained optimization
- optimization process
- data representation
- high dimensional data
- non stationary
- optimization problems
- principal component analysis
- high dimensional
- optimization method
- principal components
- low dimensional
- data mining tasks
- lower dimensional
- subsequence matching
- feature selection