Applying dimension reduction in modern data science and quantitative analysis.
Philip D. WaggonerPublished in: Softw. Impacts (2021)
Keyphrases
- quantitative analysis
- dimension reduction
- data science
- feature extraction
- qualitative analysis
- high dimensional problems
- principal component analysis
- high dimensional data
- manifold learning
- low dimensional
- singular value decomposition
- high dimensional
- qualitative evaluation
- dimensionality reduction
- feature selection
- statistical learning
- big data
- qualitative and quantitative analysis
- cluster analysis
- linear discriminant analysis
- high dimensionality
- feature space
- unsupervised learning
- machine learning
- text mining
- data sources
- query processing
- database systems
- clustering algorithm
- database