Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms.
Aldo AcevedoClaudio DuránMing-Ju KuoSara CiucciMichael SchroederCarlo Vittorio CannistraciPublished in: IEEE Access (2022)
Keyphrases
- dimension reduction
- pattern recognition
- low dimensional
- feature extraction
- image processing
- principal component analysis
- dimensionality reduction
- machine learning
- high dimensional
- learning algorithm
- high dimensional problems
- data mining and machine learning
- high dimensional data
- neural network
- high dimensional data analysis
- random projections
- lower dimensional
- support vector machine
- high dimensionality
- supervised learning
- database
- feature space
- decision trees
- feature selection
- data sets