Un an\'alisis bibliom\'etrico de la producci\'on cient\'ifica acerca del agrupamiento de trayectorias GPS
Gary Reyes, Laura Lanzarini, C\'esar Estrebou, Aurelio F. Bariviera

TL;DR
This bibliometric study analyzes 559 scientific articles on GPS trajectory clustering to identify research trends, developments, and the evolution of algorithms in this field, providing a comprehensive overview for researchers.
Contribution
It offers a detailed bibliometric analysis of GPS trajectory clustering research, highlighting trends, key contributions, and the evolution of algorithms over time.
Findings
Identification of key research trends and hotspots.
Analysis of the evolution of clustering algorithms.
Insight into the scientific community's focus areas.
Abstract
Clustering algorithms or methods for GPS trajectories are in constant evolution due to the interest aroused in part of the scientific community. With the development of clustering algorithms considered traditional, improvements to these algorithms and even unique methods considered as "novelty" for science have emerged. This work aims to analyze the scientific production that exists around the topic "GPS trajectory clustering" by means of bibliometrics. Therefore, a total of 559 articles from the main collection of Scopus were analyzed, previously filtering the generated sample to discard any article that does not have a direct relationship with the topic to be analyzed. This analysis establishes an ideal environment for other disciplines and researchers, since it provides a current state of the trend of the subject of study in their field of research. -- Los algoritmos o m\'etodos…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEnvironmental and Ecological Studies
MethodsGreedy Policy Search
