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[1] Berndt D. J. and Clifford J., “Using Dynamic Time Warping to Find Patterns in Time Series”, AAA1-94 Workshop on Knowledge Discovery in Databases, 1994, pp. 229 – 248 |
Sách, tạp chí |
Tiêu đề: |
Using Dynamic Time Warping to Find Patterns in Time Series”, "AAA1-94 Workshop on Knowledge Discovery in Databases |
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[2] Fowlkes E. B. and Mallows C. L., “A Method for Comparing Two Hierarchical Clusterings”, Journal of the American Statistical Association, 1983, vol.78, pp.553 – 569 |
Sách, tạp chí |
Tiêu đề: |
A Method for Comparing Two Hierarchical Clusterings”, "Journal of the American Statistical Association |
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[3] Gavrilov M., Anguelov D., Indyk P. and Motwani R., “Mining the Stock Market: Which Measure is Best”, in proceedings of the 6 th ACM Int'l Conference on Knowledge Discovery and Data Mining, 2000, pp. 487 – 496 |
Sách, tạp chí |
Tiêu đề: |
Mining the Stock Market: Which Measure is Best”, "in proceedings of the 6"th" ACM Int'l Conference on Knowledge Discovery and Data Mining |
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[4] Gupta L., Molfese D. L., Tammana R. and Simos P.G, “Nonlinear alignment and averaging for estimating the evoked potential”, IEEE Transactions on Biomedical Engineering, 1996, vol.43, pp. 348 – 356 |
Sách, tạp chí |
Tiêu đề: |
Nonlinear alignment and averaging for estimating the evoked potential”, "IEEE Transactions on Biomedical Engineering |
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[5] Han J., Kamber M. and Pei J., “Getting to Know Your Data” in Data Mining: Concepts and Techniques, 3 th ed., Massachusetts: Morgan Kaufmann Publishers, 2012, pp. 39 – 82 |
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Tiêu đề: |
Getting to Know Your Data” in "Data Mining: "Concepts and Techniques |
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[6] Han J., Kamber M. and Pei J., “Cluster Analysis: Basic Concepts and Methods” in Data Mining: Concepts and Techniques, 3 th ed., Massachusetts: Morgan Kaufmann Publishers, 2012, pp. 443 – 496 |
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Tiêu đề: |
Cluster Analysis: Basic Concepts and Methods” in "Data Mining: Concepts and Techniques |
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[7] Hautamaki V., Nykanen P. and Franti P., “Time series Clustering by Approximate Prototypes”, 19th International Conference on Pattern Recognition, Florida, 2008, pp. 1 – 4 |
Sách, tạp chí |
Tiêu đề: |
Time series Clustering by Approximate Prototypes”, "19th International Conference on Pattern Recognition |
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[8] Hubert L. and Arabie P., “Comparing partitions”, Journal of Classification, 1985, vol.2, pp. 193 – 218 |
Sách, tạp chí |
Tiêu đề: |
Comparing partitions”, "Journal of Classification |
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[9] Itakura F., “Minimum prediction residual principle applied to speech recognition”, IEEE Transactions on Acoustics, Speech and Signal Processing, 1975, vol.23, pp. 67 – 72 |
Sách, tạp chí |
Tiêu đề: |
Minimum prediction residual principle applied to speech recognition”, "IEEE Transactions on Acoustics, Speech and Signal Processing |
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[10] Jaccard P., “The distribution of the flora in the alpine zone”, New Phytologist, 1912, vol.11, pp. 37 – 50 |
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Tiêu đề: |
The distribution of the flora in the alpine zone”, "New Phytologist |
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[11] Keogh E. and Folias T., “The UCR Time Series Data Mining Archive”, [http://www.cs.ucr.edu/~eamonn/TSDMA/index.html], 01 – 2015 |
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Tiêu đề: |
The UCR Time Series Data Mining Archive |
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[12] Keogh E. and Ratanamahatana C.A., “Exact indexing of dynamic time warping”, Proceedings of 28th International Conference on Very Large Databases, 2002, pp. 406 – 417 |
Sách, tạp chí |
Tiêu đề: |
Exact indexing of dynamic time warping”, "Proceedings of 28th International Conference on Very Large Databases |
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[13] Keogh E., Zhu Q., Hu B., Hao Y., Xi X., Wei L. and Ratanamahatana C.A., “The UCR Time Series classification/Clustering Homepage”, [www.cs.ucr.edu/~eamonn/time_series_data/], 01 – 2015 |
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Tiêu đề: |
The UCR Time Series classification/Clustering Homepage |
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[14] Kim S., Park S. and Chu W.W., “An index-based approach for similarity search supporting time warping in large sequence databases”, Proceedings of 17th International Conference on Data Engineering, 2001, pp. 607 – 614 |
Sách, tạp chí |
Tiêu đề: |
An index-based approach for similarity search supporting time warping in large sequence databases”, "Proceedings of 17th International Conference on Data Engineering |
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[15] Lin J., Vlachos M., Keogh E. and Gunopulos D., “Iterative Incremental Clustering of Time Series”, 9th International Conference on Extending Database Technology, 2004, pp. 106 – 122 |
Sách, tạp chí |
Tiêu đề: |
Iterative Incremental Clustering of Time Series”, "9th International Conference on Extending Database Technology |
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[16] Niennattrakul V. and Ratanamahatana C.A., “Inaccuracies of shape averaging method using dynamic time warping for time series data”, Proceedings of the 7th international conference on Computational Science, 2007, pp. 513 – 520 |
Sách, tạp chí |
Tiêu đề: |
Inaccuracies of shape averaging method using dynamic time warping for time series data”, "Proceedings of the 7th international conference on Computational Science |
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[17] Niennattrakul V. and Ratanamahatana C.A., “Shape averaging under Time Warping”, 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Pattaya, 2009, vol.02, pp. 626 – 629 |
Sách, tạp chí |
Tiêu đề: |
Shape averaging under Time Warping”, "6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology |
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[18] Oliveira J.V. and Pedrycz W., “Advances in Fuzzy Clustering and its Applications”, John Wiley & Sons Ltd, 2007 |
Sách, tạp chí |
Tiêu đề: |
Advances in Fuzzy Clustering and its Applications |
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[19] Park H., Lee J. and Jun C., “A K-means-like Algorithm for K-medoids Clustering and Its Performance”, Proceedings of ICCIE, 2009 |
Sách, tạp chí |
Tiêu đề: |
A K-means-like Algorithm for K-medoids Clustering and Its Performance”, "Proceedings of ICCIE |
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[20] Petitjean F., Ketterlin A. and Gancarski P., “A global averaging method for dynamic time warping, with applications to clustering” in Pattern Recognition, 2011, vol.44, pp. 678 – 693 |
Sách, tạp chí |
Tiêu đề: |
A global averaging method for dynamic time warping, with applications to clustering” in "Pattern Recognition |
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