Particle swarm optimization for bandwidth determination and feature selection of kernel density estimation based classifiers in diagnosis of breast cancer.
Razieh SheikhpourMehdi Agha SarramRobab SheikhpourPublished in: Appl. Soft Comput. (2016)
Keyphrases
- kernel density estimation
- feature selection
- diagnosis of breast cancer
- particle swarm optimization
- computer aided
- breast cancer
- mean shift
- support vector
- probability density function
- naive bayes
- density estimation
- computer aided diagnosis
- density function
- text categorization
- global optimization
- feature space
- probability density
- multi class
- object segmentation
- classification accuracy
- dimensionality reduction
- text classification
- model selection
- higher dimensional
- machine learning
- decision trees
- training data
- knn
- training set
- energy function
- mixture model
- object detection
- input image
- nearest neighbor
- image registration
- support vector machine
- k means
- pairwise
- bayesian networks