Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification.
Friedrich KruberJonas WurstEduardo Sánchez MoralesSamarjit ChakrabortyMichael BotschPublished in: CoRR (2020)
Keyphrases
- k means
- random forest
- classification algorithm
- decision trees
- image classification
- learning algorithm
- support vector machine svm
- supervised learning
- feature reduction
- fold cross validation
- support vector machine
- training set
- similarity measure
- machine learning
- classification accuracy
- data sets
- feature set
- simulated annealing
- k nearest neighbor
- unsupervised learning
- feature space
- machine learning algorithms
- feature extraction
- computer vision