Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection.
Louis OhlPierre-Alexandre MatteiCharles BouveyronMickaël LeclercqArnaud DroitFrédéric PreciosoPublished in: Stat. Comput. (2024)
Keyphrases
- mutual information
- feature selection
- information theoretic
- information gain
- unsupervised learning
- conditional mutual information
- information theoretic measures
- high dimensionality
- sparse pca
- unsupervised feature selection
- discriminative features
- image registration
- k means
- criterion function
- high dimension
- normalized mutual information
- clustering algorithm
- class separability
- selected features
- medical image registration
- similarity measure
- feature extraction
- text classification
- clustering method
- text categorization
- feature set
- support vector machine
- classification accuracy
- data pre processing
- dimensionality reduction
- machine learning
- multi class
- document clustering
- feature space
- support vector
- distance metric
- soft assignment
- sparse coding
- spectral clustering
- image processing
- three dimensional
- high dimensional
- data points
- model selection
- naive bayes
- gene expression data
- data clustering
- sparse representation
- informative features
- high dimensional data
- cluster analysis
- semi supervised
- microarray data
- probabilistic model
- feature selection and classification
- feature selection algorithms
- hierarchical clustering
- mutual information maximization