An Experimental Study of Dimension Reduction Methods on Machine Learning Algorithms with Applications to Psychometrics.
Sean H. MerrittAlexander P. ChristensenPublished in: Adv. Artif. Intell. Mach. Learn. (2023)
Keyphrases
- machine learning algorithms
- dimension reduction methods
- dimension reduction
- principal component analysis
- machine learning
- learning algorithm
- benchmark data sets
- support vector machine
- decision trees
- predictive accuracy
- discriminant analysis
- machine learning methods
- learning problems
- random forests
- learning tasks
- machine learning approaches
- input features
- data sets
- machine learning models
- low dimensional
- learning models
- support vector
- feature extraction
- machine learning systems
- dimensionality reduction
- high dimensional
- preprocessing
- reinforcement learning
- feature selection