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README.md

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## References
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1. Mueen, A and Keogh, E,
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1. T. K. Vintsyuk,
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Speech discrimination by dynamic programming.
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Kibernetika, 4:81–88, 1968.
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2. H. Sakoe and S. Chiba,
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Dynamic programming algorithm optimization for spoken word recognition.
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IEEE Transactions on Acoustics, Speech and Signal Processing, 26(1):43–49, 1978.
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3. C. S. Myers and L. R. Rabiner,
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A comparative study of several dynamic time-warping algorithms for connected-word recognition.
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The Bell System Technical Journal, 60(7):1389–1409, Sept 1981.
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4. Mueen, A and Keogh, E,
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[Extracting Optimal Performance from Dynamic Time Warping](http://www.cs.unm.edu/~mueen/DTW.pdf),
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Tutorial, KDD 2016
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2. D. F. Silva, G. E. d. A. P. A. Batista, and E. Keogh.
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5. D. F. Silva, G. E. A. P. A. Batista, and E. Keogh.
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[On the effect of endpoints on dynamic time warping](http://www-bcf.usc.edu/~liu32/milets16/paper/MiLeTS_2016_paper_7.pdf),
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In SIGKDD Workshop on Mining and Learning from Time Series, II. Association for Computing Machinery-ACM, 2016.
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3. C. Yanping, K. Eamonn, H. Bing, B. Nurjahan, B. Anthony, M. Abdullah and B. Gustavo.
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6. C. Yanping, K. Eamonn, H. Bing, B. Nurjahan, B. Anthony, M. Abdullah and B. Gustavo.
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[The UCR Time Series Classification Archive](www.cs.ucr.edu/~eamonn/time_series_data/), 2015.
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