Similarity Measure Selection for Clustering Time Series Databases

@article{Mori2016SimilarityMS,
  title={Similarity Measure Selection for Clustering Time Series Databases},
  author={Usue Mori and Alexander Mendiburu and Jos{\'e} Antonio Lozano},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2016},
  volume={28},
  pages={181-195}
}
In the past few years, clustering has become a popular task associated with time series. The choice of a suitable distance measure is crucial to the clustering process and, given the vast number of distance measures for time series available in the literature and their diverse characteristics, this selection is not straightforward. With the objective of simplifying this task, we propose a multi-label classification framework that provides the means to automatically select the most suitable… CONTINUE READING
Highly Cited
This paper has 21 citations. REVIEW CITATIONS

3 Figures & Tables

Topics

Statistics

0204020172018
Citations per Year

Citation Velocity: 12

Averaging 12 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.