jim-spyropoulos / Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.

Date Created 2018-07-02 (6 years ago)

Commits 8 (last one 4 years ago)

Stargazers 65 (0 this week)

Watchers 0 (0 this week)

Forks 17

License apache-2.0

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jim-spyropoulos/Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn is also tagged with popular topics, for these it's ranked: python (#16,117/22011), machine-learning (#5,873/7926), classification (#381/540), scikit-learn (#287/350)

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jim-spyropoulos/Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn has 2 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

All Topics

dtw knn python trajectory classifiers scikit-learn random-forest classification machine-learning logistic-regression similarity-measures trajectory-analysis scikitlearn-machine-learning

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updated: 2024-09-25 @ 06:44am, id: 139448459 / R_kgDOCE_Qiw