Spectral Self-supervised Feature Selection.
Daniel SegalOfir LindenbaumAriel JaffePublished in: CoRR (2024)
Keyphrases
- feature selection
- text categorization
- support vector
- feature extraction
- classification accuracy
- information gain
- irrelevant features
- spectral analysis
- discriminative features
- multi class
- feature selection algorithms
- feature set
- mutual information
- high dimensionality
- unsupervised learning
- text classification
- support vector machine
- selected features
- hyperspectral images
- machine learning
- conditional mutual information
- feature space
- spectral images
- feature selection and classification
- redundant features
- unsupervised feature selection
- method for feature selection
- informative features
- microarray classification
- introducing additional
- data sets
- selecting relevant features
- multi task
- hyperspectral
- feature subset
- microarray data
- multispectral
- model selection
- text mining
- knn
- high resolution
- learning algorithm