Fuzzy Forests For Feature Selection in High-Dimensional Survey Data: An Application to the 2020 U.S. Presidential Election.
Sreemanti DeyR. Michael AlvarezPublished in: CoRR (2022)
Keyphrases
- survey data
- high dimensional
- feature selection
- high dimensionality
- dimensionality reduction
- presidential election
- feature space
- empirically tested
- fuzzy sets
- high dimension
- microarray data
- gene expression data
- dimension reduction
- text categorization
- structural equation modeling
- fuzzy logic
- small sample
- job satisfaction
- membership functions
- high dimensional data
- mutual information
- low dimensional
- fuzzy rules
- metric space
- variable selection
- feature set
- machine learning
- similarity search
- theoretical and practical implications
- support vector
- support vector machine
- fuzzy numbers
- fuzzy clustering
- feature selection algorithms
- selected features
- fuzzy inference
- random forests
- nearest neighbor
- data points
- classification accuracy
- model selection
- data sets