A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data.
Zhen LiuDeyu TangYongming CaiRuoyu WangFuhua ChenPublished in: Neurocomputing (2017)
Keyphrases
- hybrid method
- microarray data
- class imbalance
- gene selection
- feature selection
- cancer classification
- microarray
- dna microarray
- gene expression profiles
- high dimensionality
- gene expression data
- support vector machine
- class distribution
- gene expression
- active learning
- cost sensitive
- random forest
- feature ranking
- cancer diagnosis
- ovarian cancer
- gene sets
- data sets
- hybrid algorithm
- high dimensional
- cluster analysis
- text classification
- neural network
- support vector
- concept drift
- base classifiers
- ensemble learning
- training set
- feature extraction
- learning algorithm
- text categorization
- k nearest neighbor
- multi class
- unsupervised learning
- feature space
- machine learning