MAT-CA: a tool for Multiple Aspect Trajectory Clustering Analysis

Author:

Santos Yuri1ORCID,Giuliani Ricardo1ORCID,Portela Tarlis2ORCID,Renso Chiara3ORCID,Carvalho Jônata1ORCID

Affiliation:

1. Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil

2. Instituto Federal do Parana (IFPR), Palmas, Paraná, Brazil

3. Institute of Science and Technology A. Faedo National Research Council of Italy, Pisa, Italy

Funder

FAPESC with H2020 projects

CAPES

MASTER & MarieSlodowska Curie

Publisher

ACM

Reference26 articles.

1. Gennady Andrienko , Natalia Andrienko , Georg Fuchs , and Jose Manuel Cordero Garcia . 2017. Clustering trajectories by relevant parts for air traffic analysis . IEEE transactions on visualization and computer graphics 24, 1 ( 2017 ), 34--44. Gennady Andrienko, Natalia Andrienko, Georg Fuchs, and Jose Manuel Cordero Garcia. 2017. Clustering trajectories by relevant parts for air traffic analysis. IEEE transactions on visualization and computer graphics 24, 1 (2017), 34--44.

2. Mohd Yousuf Ansari Amir Ahmad Gopal Bhushan etal 2021. Spatiotemporal trajectory clustering: A clustering algorithm for spatiotemporal data. Expert Systems with Applications (2021). Mohd Yousuf Ansari Amir Ahmad Gopal Bhushan et al. 2021. Spatiotemporal trajectory clustering: A clustering algorithm for spatiotemporal data. Expert Systems with Applications (2021).

3. FPGA Design for Statistics-Inspired Approximate Sum-of-Squared-Error Computation in Multimedia Applications

4. Visualization on Agglomerative Information Bottleneck Based Trajectory Clustering

5. Carlos Andres Ferrero , Luis Otavio Alvares, and Vania Bogorny . 2016 . Multiple aspect trajectory data analysis: research challenges and opportunities.. In GeoInfo . 56--67. Carlos Andres Ferrero, Luis Otavio Alvares, and Vania Bogorny. 2016. Multiple aspect trajectory data analysis: research challenges and opportunities.. In GeoInfo. 56--67.

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