Breast cancer diagnosis based on evolvable fuzzy classifiers and feature selection.
Stavros LekkasLudmil MikhailovPublished in: SGAI Conf. (Applications) (2008)
Keyphrases
- preprocessing
- breast cancer diagnosis
- feature selection
- feature extraction
- support vector
- breast cancer
- feature set
- feature selection algorithms
- feature subset
- preprocessing step
- classification models
- data preprocessing
- feature ranking
- naive bayes
- ensemble classifier
- cancer diagnosis
- fuzzy sets
- membership functions
- feature space
- classification accuracy
- fuzzy clustering
- high dimensionality
- machine learning
- fuzzy rules
- decision trees
- multi class
- svm classifier
- text categorization
- microarray data
- support vector machine
- logistic regression
- gene expression data
- text classification
- dimensionality reduction
- training data
- data mining
- training set
- fold cross validation
- feature vectors
- knn
- ensemble methods
- cluster analysis