RandPro- A practical implementation of random projection-based feature extraction for high dimensional multivariate data analysis in R.
R. SiddharthGnanasekaran AghilaPublished in: SoftwareX (2020)
Keyphrases
- feature extraction
- data analysis
- high dimensional
- dimensionality reduction
- multivariate data
- dimension reduction
- high dimensional data
- data collection
- real world
- practical application
- manifold learning
- face recognition
- similarity search
- linear feature extraction
- data sets
- sparse data
- data mining
- efficient implementation
- feature vectors
- multiscale
- business intelligence
- knowledge discovery
- data processing
- low dimensional
- principal component analysis
- computationally efficient
- big data
- feature extractor
- kernel principal component analysis
- wavelet transform
- nearest neighbor
- life sciences
- image processing
- feature space
- pattern classification
- multi dimensional
- high dimensionality
- microarray
- kernel function
- preprocessing
- support vector machine svm