Filter feature selection performance comparison in high-dimensional data: A theoretical and empirical analysis of most popular algorithms.
Carlos HuertasReyes Juárez-RamírezPublished in: FUSION (2014)
Keyphrases
- high dimensional data
- high dimensionality
- dimensionality reduction
- high dimensional
- feature selection
- data sets
- nearest neighbor
- high dimensional spaces
- low dimensional
- high dimensions
- subspace clustering
- feature selection algorithms
- dimension reduction
- high dimensional datasets
- data structure
- data points
- text classification
- lower dimensional
- data mining
- preprocessing step
- manifold learning
- gene expression data
- missing values
- computer vision
- machine learning
- input space
- similarity search
- data analysis
- high dimensional data sets
- clustering high dimensional data