Under different network representation learning (NRL) methods and clustering methods, we cluster the vehicles in the dynamic vehicle network, and compare the clustering performance.
Paper: Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles (https://ieeexplore.ieee.org/document/9115819)
- DynWalks
- DeepWalk
- LINE
- node2vec
- GraRep
DynWalks: https://github.com/houchengbin/GloDyNE.
We use the code of the other three NRL methods in OpenNE to learn the embedding vectors of vehicles in the dynamic vehicle network. OpenNE: https://github.com/thunlp/OpenNE
- KMeans
- HierarchicalClustering
- SpectralClustering
- GaussianMixture
- KMedoids
- Silhouette Score
- Dunn Validity Index
- Davies Bouldin Score
- Calinski Harabaz Score