Dimensionality Reduction in The Presence of Highly Correlated Variables for Random Forests: Wetland Case Study.
Amir BehnamianSarah N. BanksLori WhiteKoreen MillardDarren PouliotJon PasherJason DuffePublished in: IGARSS (2019)
Keyphrases
- random forests
- highly correlated
- dimensionality reduction
- high dimensionality
- random forest
- ensemble methods
- machine learning algorithms
- decision trees
- logistic regression
- high dimensional
- decision tree ensembles
- high dimensional data
- principal component analysis
- feature space
- statistically significant
- average precision
- feature extraction
- feature selection
- low dimensional
- data sets
- support vector machine
- data points
- pattern recognition
- microarray
- machine learning methods
- support vector