Time-series clustering – A decade review

Article Properties
Cite
Aghabozorgi, Saeed, et al. “Time-Series Clustering – A Decade Review”. Information Systems, vol. 53, 2015, pp. 16-38, https://doi.org/10.1016/j.is.2015.04.007.
Aghabozorgi, S., Seyed Shirkhorshidi, A., & Ying Wah, T. (2015). Time-series clustering – A decade review. Information Systems, 53, 16-38. https://doi.org/10.1016/j.is.2015.04.007
Aghabozorgi S, Seyed Shirkhorshidi A, Ying Wah T. Time-series clustering – A decade review. Information Systems. 2015;53:16-38.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Telecommunication
Technology
Technology (General)
Industrial engineering
Management engineering
Information technology
You May Also Like
Refrences
Login
Citations
Login
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science210
Technology: Engineering (General). Civil engineering (General)190
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics139
Technology: Environmental technology. Sanitary engineering121
Technology: Mechanical engineering and machinery105
The first research to cite this article was titled A Comparison Study on Similarity and Dissimilarity Measures in Clustering Continuous Data and was published in 2015. The most recent citation comes from a 2024 study titled A Comparison Study on Similarity and Dissimilarity Measures in Clustering Continuous Data . This article reached its peak citation in 2023 , with 158 citations.It has been cited in 447 different journals, 23% of which are open access. Among related journals, the IEEE Access cited this research the most, with 28 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year