Locality and similarity preserving embedding for feature selection.
Xiaozhao FangYong XuXuelong LiZizhu FanHong LiuYan ChenPublished in: Neurocomputing (2014)
Keyphrases
- feature selection
- text categorization
- similarity measure
- distance function
- mutual information
- multidimensional scaling
- similarity measurement
- structural similarity
- text classification
- nonlinear dimensionality reduction
- information gain
- support vector
- unsupervised learning
- unsupervised feature selection
- feature selection algorithms
- manifold learning
- discriminative features
- similarity metric
- feature weighting
- similarity function
- dimension reduction
- data sets
- model selection
- feature set
- machine learning
- method for feature selection
- individual features
- spatial locality
- high dimensionality
- selected features
- semantic similarity
- distance metric
- euclidean distance
- distance measure
- support vector machine
- decision trees
- genetic algorithm
- neural network