Feature clustering and feature discretization assisting gene selection for molecular classification using fuzzy c-means and expectation-maximization algorithm.
Hung-Yi LinPublished in: J. Supercomput. (2021)
Keyphrases
- k means
- expectation maximization
- fuzzy c means
- clustering method
- fcm algorithm
- clustering algorithm
- fuzzy clustering algorithm
- support vector machine svm
- cluster centers
- fuzzy clustering
- feature vectors
- gene selection
- learning algorithm
- validity index
- artificial immune network
- hierarchical clustering
- cluster analysis
- unsupervised learning
- hard c means
- data clustering
- classification accuracy
- machine learning
- neural network
- clustering analysis
- gene expression profiles
- possibilistic c means
- cluster validity
- mercer kernel
- microarray
- pattern recognition
- computer vision
- microarray data
- self organizing maps
- input data
- principal component analysis
- supervised learning
- nearest neighbor
- probabilistic model
- data analysis
- cluster validity index
- possibilistic clustering
- similarity measure