Minimizing Cluster Errors in LP-Based Nonlinear Classification.
Orestes Manzanilla-SalazarJesús Espinal-KohlerUbaldo M. García-PalomaresPublished in: MLDM (2014)
Keyphrases
- pattern recognition
- unsupervised clustering
- classification algorithm
- classification systems
- classification method
- image classification
- machine learning methods
- linear program
- pattern classification
- support vector machine svm
- text classification
- support vector machine
- classification accuracy
- feature vectors
- support vector
- false negative
- linear programming
- benchmark datasets
- automatic classification
- feature extraction
- decision trees
- supervised classification
- kernel principal component analysis
- machine learning
- quadratic program
- decision rules
- false positives
- class labels
- supervised learning
- multi class
- dynamic programming
- preprocessing
- objective function
- feature selection