Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification
Published in IEEE IV 2019
-
DOWNLOAD the Matlab files from Github (*.m and *.p files)
-
DOWNLOAD the dataset as a zipped file from google drive (337 MB):
https://drive.google.com/file/d/1voRvjNlhVArO-r8k1ZJBc6v_Mf5tjSKh/view?usp=sharing -
COPY all Matlab files and the dataset into one folder
-
OPEN Main_RUN.m in Matlab
-
RUN directly, or adapt the variables according to your needs.
- Further information is given in the Main_RUN.m file
The zipped file contains two *.mat files for the plotting function and two *.mat files with the dataset used for the clustering and classification process.
A description of the 47 features is given in the FeatureDescription.m file.
Tested on Matlab R2017b, R2018a, R2019a