A novel dimensionality reduction method for cancer dataset using PCA and Feature Ranking.
Nitika SharmaKriti SarohaPublished in: ICACCI (2015)
Keyphrases
- dimensionality reduction methods
- feature ranking
- dimensionality reduction
- principal component analysis
- feature selection
- gene selection
- high dimensionality
- discriminant projection
- principal components analysis
- feature set
- microarray datasets
- fold cross validation
- discriminant analysis
- preprocessing step
- random forest
- knn
- support vector machine
- random projections
- data sets
- feature subset
- microarray data
- high dimensional data
- principal components
- cancer classification
- high dimensional
- feature extraction
- linear discriminant analysis
- text categorization
- feature space
- feature subset selection
- low dimensional
- feature selection algorithms
- distance measure
- covariance matrix
- gene expression profiles
- classification models
- gene expression data
- pattern recognition
- k nearest neighbor
- classification accuracy
- machine learning
- dimension reduction
- microarray
- logistic regression
- model selection
- text classification
- face recognition
- data mining