Convex covariate clustering for classification.
Daniel AndradeKenji FukumizuYuzuru OkajimaPublished in: Pattern Recognit. Lett. (2021)
Keyphrases
- classification accuracy
- unsupervised learning
- automatic classification
- clustering algorithm
- classification method
- clustering method
- unsupervised clustering
- unsupervised classification
- classification models
- pattern recognition
- feature space
- text classification
- classification scheme
- convex optimization
- decision trees
- data mining
- support vector
- similarity measure
- feature selection
- support vector machine svm
- pattern classification
- hierarchical clustering
- high dimensionality
- cluster analysis
- training set
- machine learning
- supervised classification
- clustering analysis
- image classification
- preprocessing
- k means
- neural network
- convex hull
- density estimation
- feature extraction
- self organizing maps
- training data
- training samples
- data sets
- supervised learning
- feature vectors