Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections.
Michael WojnowiczDi ZhangGlenn ChisholmXuan ZhaoMatt WolffPublished in: CoRR (2019)
Keyphrases
- random projections
- lower dimensional
- dimensionality reduction
- dimension reduction
- compressed sensing
- high dimensionality
- high dimensional
- compressive sensing
- low dimensional
- image reconstruction
- principal component analysis
- original data
- random sampling
- sparse representation
- high quality
- hash functions
- data sets
- high dimensional data
- feature space
- pattern recognition
- neural network
- document clustering
- raw data
- text classification
- preprocessing
- feature extraction
- computer vision
- information retrieval