Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification.
Friedrich KruberJonas WurstEduardo Sánchez MoralesSamarjit ChakrabortyMichael BotschPublished in: IV (2019)
Keyphrases
- k means
- random forest
- learning algorithm
- classification algorithm
- decision tree learning algorithms
- feature reduction
- decision trees
- simulated annealing
- fold cross validation
- support vector machine svm
- unsupervised learning
- support vector
- feature vectors
- machine learning algorithms
- pairwise
- random forests
- training data
- clustering algorithm
- computer vision