An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization.
Friedrich KruberJonas WurstMichael BotschPublished in: CoRR (2020)
Keyphrases
- random forest
- feature importance
- unsupervised learning
- random forests
- decision trees
- feature set
- ensemble methods
- fold cross validation
- text categorization
- multi label
- k means
- supervised learning
- decision tree learning algorithms
- logistic regression
- ensemble classifier
- base classifiers
- semi supervised
- knowledge discovery
- data points
- higher order
- rotation forest
- support vector