Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets
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Updated
Feb 16, 2022 - Python
Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets
[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).
Contrastive Trajectory Similarity Learning with Dual-Feature Attention (TrajCL) - ICDE 2023
The CB-SMoT (Clustering-Based Approach for Discovering Interesting Places in a Single Trajectory) - Data: http://www.sptrans.com.br/
Automatic classification of pedestrian trajectories using clustering techniques.
This repository addresses GPS trajectory clustering by downloading data from OpenStreetMap and comparing two methods: trajectory aggregation and DBSCAN.
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