A hybrid approach based on decision trees and clustering for breast cancer classification.
Hind ElouediWalid MelianiZied ElouediNahla Ben AmorPublished in: SoCPaR (2014)
Keyphrases
- cancer classification
- decision trees
- random forest
- gene expression profiles
- gene selection
- microarray data
- gene expression profiling
- gene expression data
- microarray
- k means
- cluster analysis
- clustering method
- clustering algorithm
- cancer diagnosis
- self organizing maps
- colon cancer
- data clustering
- naive bayes
- training data
- unsupervised learning
- clustering analysis
- training set
- machine learning
- feature extraction
- support vector
- microarray datasets
- pattern recognition
- logistic regression
- ensemble methods
- fuzzy clustering
- data points
- support vector machine
- data sets