Feature Selection Based on Class-Dependent Densities for High-Dimensional Binary Data.
Kashif JavedHaroon Atique BabriMehreen SaeedPublished in: IEEE Trans. Knowl. Data Eng. (2012)
Keyphrases
- binary data
- class dependent
- high dimensional
- feature selection
- feature ranking
- high dimensionality
- feature space
- dimensionality reduction
- low dimensional
- cost sensitive
- microarray data
- dimension reduction
- text categorization
- classification accuracy
- locality preserving projections
- multi class
- text classification
- data points
- support vector machine
- nearest neighbor
- multi dimensional
- gene expression data
- feature selection algorithms
- high dimensional data
- formal concept analysis
- machine learning
- feature set
- maximum margin
- input space
- classification models
- variable selection
- data mining
- data sets
- similarity measure
- categorical data
- manifold learning
- multi task
- model selection
- training set
- fold cross validation
- sparse coding
- handwriting recognition
- information retrieval
- correlation filters
- k nearest neighbor
- naive bayes