Randomized K-d tree ReliefF algorithm for feature selection in handling high dimensional process parameter data.
Sitong XuXiang LiWen Feng LuPublished in: ETFA (2016)
Keyphrases
- feature selection
- noisy data
- high dimensional
- data reduction
- input data
- dimensional data
- irrelevant features
- data analysis
- data sets
- feature subset
- tree structure
- data points
- learning algorithm
- high dimensional data
- sparse data
- data sources
- high dimensionality
- binary tree
- feature extraction
- feature selection algorithms
- relevant attributes
- preprocessing
- feature space
- text categorization
- k means
- data mining techniques
- distance matrix
- probabilistic model
- tree structured data
- attribute selection
- high dimensional data space
- information gain
- text classification
- np hard
- data structure
- training data
- similarity measure