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README.md

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@@ -47,18 +47,20 @@ Pkg.add("TimeSeriesClustering")
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## Citing TimeSeriesClustering
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If you find TimeSeriesClustering useful in your work, we kindly request that you cite the following paper ([link](https://doi.org/10.21105/joss.01573)):
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```@article{Teichgraeber2019joss,
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author = {Teichgraeber, Holger and Kuepper, Lucas Elias and Brandt, Adam R},
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doi = {https://doi.org/10.21105/joss.01573},
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journal = {Journal of Open Source Software},
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number = {41},
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pages = {1573},
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title = {TimeSeriesClustering : An extensible framework in Julia},
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volume = {4},
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year = {2019}
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}
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If you find this package useful, our paper [Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison](https://doi.org/10.1016/j.apenergy.2019.02.012) may additionally be of interest.
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```
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@article{Teichgraeber2019joss,
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author = {Teichgraeber, Holger and Kuepper, Lucas Elias and Brandt, Adam R},
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doi = {https://doi.org/10.21105/joss.01573},
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journal = {Journal of Open Source Software},
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number = {41},
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pages = {1573},
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title = {TimeSeriesClustering : An extensible framework in Julia},
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volume = {4},
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year = {2019}
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}
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```
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If you find this package useful, our [paper](https://doi.org/10.1016/j.apenergy.2019.02.012) on comparing clustering methods for energy systems optimization problems may additionally be of interest.
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## Quick Start Guide
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docs/src/index.md

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## Citing TimeSeriesClustering
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If you find TimeSeriesClustering useful in your work, we kindly request that you cite the following paper ([link](https://doi.org/10.21105/joss.01573)):
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```@article{Teichgraeber2019joss,
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author = {Teichgraeber, Holger and Kuepper, Lucas Elias and Brandt, Adam R},
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doi = {https://doi.org/10.21105/joss.01573},
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journal = {Journal of Open Source Software},
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number = {41},
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pages = {1573},
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title = {TimeSeriesClustering : An extensible framework in Julia},
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volume = {4},
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year = {2019}
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}
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If you find this package useful, our paper [Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison](https://doi.org/10.1016/j.apenergy.2019.02.012) may additionally be of interest.
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```
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@article{Teichgraeber2019joss,
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author = {Teichgraeber, Holger and Kuepper, Lucas Elias and Brandt, Adam R},
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doi = {https://doi.org/10.21105/joss.01573},
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journal = {Journal of Open Source Software},
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number = {41},
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pages = {1573},
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title = {TimeSeriesClustering : An extensible framework in Julia},
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volume = {4},
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year = {2019}
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}
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```
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If you find this package useful, our [paper](https://doi.org/10.1016/j.apenergy.2019.02.012) on comparing clustering methods for energy systems optimization problems may additionally be of interest.

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