Time Series Clustering via Community Detection in Networks

Leonardo N. Ferreira and Liang Zhao

In this page you find the code used in the paper.
DOI: doi.org/10.1016/j.ins.2015.07.046
arXiv: arxiv.org/abs/1508.04757

Code

All the algorithms and experiments used in this paper were implemented using R. Download the code and open the R folder. There are 3 files:

R/
- tsClustAlgs.R
  - Clustering algorithms
- tsDist.R
  - Calculates distance between a set of time series
- run.R
  - Example of how to use the code

Bibtex

If you used this code, please cite our paper.

@article{ferreira16,
  title = "Time series clustering via community detection in networks",
  journal = "Information Sciences",
  volume = "326",
  pages = "227 - 242",
  year = "2016",
  issn = "0020-0255",
  doi = "https://doi.org/10.1016/j.ins.2015.07.046",
  url = "http://www.sciencedirect.com/science/article/pii/S002002551500554X",
  author = "Leonardo N. Ferreira and Liang Zhao",
  keywords = "Time series data mining, Time series clustering, Complex networks, Community detection"
}

Contact

If you have questions or sugestions, send us an email:

Leonardo N. Ferreira
ferreira@leonardonascimento.com
www.leonardonascimento.com

Zhao Liang
zhao@usp.br
dcm.ffclrp.usp.br/~zhao/

lnferreira/time_series_clustering_via_community_detection

Time Series Clustering via Community Detection in Networks

Code

Bibtex

Contact