Principal Components and the Accuracy of Machine Learning.
Zbigniew DuszakWaldemar W. KoczkodajPublished in: DEXA (1992)
Keyphrases
- optimal solution
- principal components
- machine learning
- principal component analysis
- correlation coefficient
- data mining
- objective function
- kernel space
- multivariate data
- computational cost
- high accuracy
- dimensionality reduction
- principal component regression
- principal components analysis
- learning algorithm
- machine learning methods
- machine learning algorithms
- active learning
- pattern recognition
- least squares
- hyperplane
- kernel principal component analysis
- hough transform
- natural language processing
- supervised learning
- classification accuracy
- computational complexity