Dimensionality Reduction using Elastic Measures.
J. Derek TuckerMatthew T. MartinezJose M. LabordePublished in: CoRR (2022)
Keyphrases
- dimensionality reduction
- high dimensional
- dimensionality reduction methods
- feature extraction
- high dimensionality
- low dimensional
- high dimensional data
- lower dimensional
- principal component analysis
- structure preserving
- manifold learning
- pattern recognition and machine learning
- random projections
- information retrieval
- linear discriminant analysis
- data representation
- computer vision
- artificial intelligence
- sparse representation
- data points
- pattern recognition
- evaluation measures
- machine learning
- linear dimensionality reduction
- data sets