An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization.
Friedrich KruberJonas WurstMichael BotschPublished in: ITSC (2018)
Keyphrases
- random forest
- feature importance
- unsupervised learning
- random forests
- decision trees
- multi label
- ensemble methods
- feature set
- text categorization
- k means
- fold cross validation
- semi supervised
- ensemble learning
- supervised learning
- base classifiers
- rotation forest
- decision tree learning algorithms
- semi supervised learning
- data sets
- data points
- object recognition
- image processing
- machine learning