A Supervised Biclustering Optimization Model for Feature Selection in Biomedical Dataset Classification.

Saziye Deniz Oguz Arikan Cem Iyigun

Published in: DMBD (2016)

Keyphrases

feature selection
optimization model
feature set
classification accuracy
microarray data
text classification
machine learning
unsupervised learning
support vector
classification models
gene expression data
fold cross validation
feature extraction

microarray datasets
supervised learning
classification algorithm
unsupervised feature selection
decision trees
support vector machine
irrelevant features
feature selection algorithms
feature selection and classification
text categorization
discriminative features
benchmark datasets
supervised classification

selected features
high dimensionality
construction project
feature subset
learning algorithm
optimization process
training dataset
text mining
feature vectors
classification performances
naive bayes
model selection

multi class
image classification
data sets
microarray data analysis
supervised and unsupervised learning
supervised feature selection
gene sets
dimensionality reduction
multi objective
evolutionary algorithm
training set
neural network