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 …
☆65Updated last year
Alternatives and similar repositories for Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn:
Users that are interested in Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn are comparing it to the libraries listed below
- Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets☆178Updated 3 years ago
- The proposed methodology assess how compression algorithms influence the clustering analysis with respect to anomaly detection of vessel …☆11Updated 2 years ago
- Python code to re-produce results and illustrations of trajectory classification.☆64Updated 6 years ago
- Trajectory Mining Library for Python☆38Updated 5 years ago
- This application written in Python is capable of fully automatic clustering of 2D trajectory data.☆109Updated 9 years ago
- Python code to re-produce results and illustrations of destination prediction by trajectory distribution based model.☆12Updated 6 years ago
- code for "Trajectory clustering via deep representation learning"☆184Updated 7 years ago
- Trajectory Mining Library☆47Updated 4 years ago
- Implement Trajectory Clustering: A Partition-and-Group Framework☆65Updated 3 years ago
- Analysis and transport mode classification of the GeoLife GPS Trajectories Dataset☆100Updated 6 years ago
- t2vec: Deep Representation Learning for Trajectory Similarity Computation☆140Updated 3 years ago
- ☆133Updated 6 years ago
- Understanding transportation mode from GPS (Global Positioning System) traces is an essential topic in the data mobility domain. In this …☆47Updated 4 years ago
- ☆44Updated 2 years ago
- Spatio Temporal DBSCAN algorithm in Python. Useful to cluster spatio-temporal data with irregular time intervals, a prominent example cou…☆33Updated 4 years ago
- Source code for the paper "Towards Semantic-Aware Multiple-Aspect Trajectory Similarity Measuring"☆16Updated 4 years ago
- Source code for the paper "MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings"☆21Updated 4 years ago
- Python implementation of Traclus algorithm, for 2-D trajectories☆150Updated last year
- 航迹检测☆21Updated 6 years ago
- Implement the Douglas-Peucker algorithm to compress trajectories.☆11Updated 9 years ago
- This repository contains all the code used for processing large scale trajectory data as part of the research subject: Infrastructure Eng…☆12Updated 7 years ago
- Inferring transportation modes from GPS trajectories using a Convolutional Neural Network☆47Updated 5 years ago
- Clustering of Taxi Trajectories☆11Updated 6 years ago
- Code for trajectory mining, including three parts: 1) trajectory preprocessing, 2) OD points clustering for route patterns discovery, and…☆11Updated 6 years ago
- ☆17Updated 4 years ago
- Dual Supervised Autoencoder Based Trajectory Classification Using Enhanced Spatio-Temporal Information☆18Updated last year
- A Trajectory Preprocessing Toolkit in Python☆78Updated 5 years ago
- ST-SiameseNet (KDD'20)☆22Updated 4 years ago
- [AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆66Updated 4 years ago
- 基于GPS轨迹和神经网络(DNN,RNN)的出行方式推测☆19Updated 6 years ago