A Supervised Feature Selection Method For Mixed-Type Data using Density-based Feature Clustering.
Xuyang YanMrinmoy SarkarBiniam GebruShabnam NazmiAbdollah HomaifarPublished in: CoRR (2021)
Keyphrases
- clustering method
- synthetic data
- input data
- supervised feature selection
- data analysis
- pairwise
- data sets
- unsupervised learning
- clustering algorithm
- spectral clustering
- feature set
- machine learning
- missing data
- data points
- classification accuracy
- k means
- similarity measure
- training data
- feature selection
- cluster centers
- categorical data
- feature subset
- original data
- data clustering
- optimization method
- knowledge discovery
- pattern recognition
- high dimensional data
- high dimensional
- natural language processing
- information extraction