CSCIM_FS: Cosine similarity coefficient and information measurement criterion-based feature selection method for high-dimensional data.
Gaoteng YuanYi ZhaiJiansong TangXiaofeng ZhouPublished in: Neurocomputing (2023)
Keyphrases
- high dimensional data
- data sets
- high dimensionality
- feature selection
- dimensionality reduction
- nearest neighbor
- complex data
- data points
- pattern recognition
- feature extraction
- original data
- dimension reduction
- high dimensional
- data analysis
- similarity search
- high dimensions
- training set
- feature vectors
- data structure
- vector space