Variable Selection for Clustering and Classification.
Jeffrey L. AndrewsPaul D. McNicholasPublished in: J. Classif. (2014)
Keyphrases
- variable selection
- cross validation
- dimension reduction
- model selection
- logistic regression models
- input variables
- high dimensional data
- leave one out cross validation
- high dimensionality
- high dimensional
- unsupervised learning
- machine learning
- clustering algorithm
- linear models
- classification accuracy
- feature space
- high dimensional data analysis
- feature selection
- data sets
- gene expression microarray data
- naive bayes classifier
- clustering method
- k means
- training set
- support vector machine svm
- text classification
- cluster analysis
- preprocessing
- support vector
- singular value decomposition
- nearest neighbor
- artificial neural networks
- pattern recognition
- decision trees
- data mining
- neural network