A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines.
José A. V. FlorêncioMadson Luiz Dantas DiasAjalmar R. da Rocha NetoAmauri Holanda de Souza JúniorPublished in: NAFIPS (2018)
Keyphrases
- fuzzy c means
- reference points
- learning machines
- reference point
- fuzzy clustering
- support vector
- clustering algorithm
- image segmentation
- clustering method
- ensemble learning
- model selection
- membership functions
- support vector machine
- learning tasks
- training algorithm
- pattern recognition
- vc dimension
- generalization error
- artificial intelligence
- position and orientation
- euclidean distance
- cluster analysis
- learning algorithm
- object recognition
- high quality
- objective function
- supervised learning
- k means
- rbf neural network
- genetic algorithm
- graph cuts
- fingerprint images
- dimensionality reduction
- lower bound