An incremental feature selection approach based on scatter matrices for classification of cancer microarray data.
Manju SardanaR. K. AgrawalBaljeet KaurPublished in: Int. J. Comput. Math. (2015)
Keyphrases
- microarray data
- feature selection
- gene selection
- cancer classification
- small sample size
- dna microarray
- gene expression profiles
- microarray datasets
- colon cancer
- microarray data analysis
- microarray
- cancer diagnosis
- microarray classification
- gene expression microarray data
- gene expression data sets
- gene expression data
- gene expression
- scatter matrices
- classification accuracy
- high dimensionality
- ovarian cancer
- feature ranking
- feature set
- text classification
- feature space
- informative features
- feature selection algorithms
- informative genes
- gene sets
- support vector machine
- high dimensional
- small number of samples
- support vector
- feature extraction
- data sets
- model selection
- null space
- unsupervised learning
- pattern recognition
- breast cancer
- data mining
- gene clusters
- training set
- selected features
- linear discriminant analysis
- cluster analysis
- supervised learning
- dimension reduction
- training data
- support vector machine svm
- decision trees
- computer vision
- sample size