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: DSAA (2016)
Keyphrases
- random projections
- lower dimensional
- dimensionality reduction
- high dimensionality
- high dimensional
- compressed sensing
- dimension reduction
- compressive sensing
- principal component analysis
- low dimensional
- original data
- image reconstruction
- feature space
- sparse representation
- random sampling
- high dimensional data
- data sets
- neural network
- document clustering
- information retrieval
- linear discriminant analysis
- topic models
- raw data
- document collections
- image classification
- data points
- hash functions
- digital libraries
- pattern recognition
- feature extraction