A Comparative Study on using Principle Component Analysis with Different Text Classifiers.
Ahmed I. TalobaDalia A. EisaSafaa S. I. IsmailPublished in: CoRR (2018)
Keyphrases
- principle component analysis
- text classifiers
- svm classifier
- text classification
- text categorization
- support vector machine
- independent component analysis
- naive bayes
- support vector machine svm
- document classification
- dimension reduction
- feature extraction
- image classification
- support vector
- face recognition
- feature vectors
- feature space
- principal component analysis
- text data
- lower dimensional
- kernel function
- image processing
- random projections
- independent components
- text documents
- kernel pca
- machine learning
- singular value decomposition
- covariance matrix
- topic models
- data sets
- input image
- high dimensional
- probabilistic model