Sparse GEMINI for Joint Discriminative Clustering and Feature Selection.
Louis OhlPierre-Alexandre MatteiCharles BouveyronMickaël LeclercqArnaud DroitFrédéric PreciosoPublished in: CoRR (2023)
Keyphrases
- feature selection
- unsupervised learning
- discriminative features
- high dimensionality
- unsupervised feature selection
- clustering algorithm
- sparse pca
- k means
- classification accuracy
- high dimension
- data clustering
- text categorization
- text classification
- feature extraction
- information gain
- anomaly detection
- clustering method
- feature set
- hierarchical clustering
- semi supervised
- feature weighting
- machine learning
- feature selection algorithms
- gene expression data
- class separability
- data pre processing
- dimensionality reduction
- high dimensional
- feature reduction
- joint optimization
- soft assignment
- web image annotation
- sparse data
- fuzzy clustering
- document clustering
- cluster analysis
- high dimensional data
- model selection
- mutual information
- support vector machine
- support vector