Nonsupervised classification using the principal component.
Masamichi ShimuraToshio ImaiPublished in: Pattern Recognit. (1973)
Keyphrases
- principal components
- principal component analysis
- pattern recognition
- feature set
- classification accuracy
- text classification
- feature vectors
- hyperplane
- machine learning
- decision trees
- support vector
- neural network
- cross validation
- supervised learning
- feature space
- feature extraction
- feature selection
- data sets
- support vector machine
- lower bound
- image classification
- training data
- training samples
- support vector machine svm
- classification method
- high dimensionality
- principal components analysis
- principal curves