1. Trang chủ
  2. » Luận Văn - Báo Cáo

Gom cụm dữ liệu chuỗi thời gian với độ đo xoắn thời gian động dựa vào một kỹ thuật xấp xỉ

103 47 0

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

THÔNG TIN TÀI LIỆU

Thông tin cơ bản

Định dạng
Số trang 103
Dung lượng 2,91 MB

Nội dung

Ngày đăng: 26/01/2021, 21:52

Nguồn tham khảo

Tài liệu tham khảo Loại Chi tiết
[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
[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
[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
[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
[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 Sách, tạp chí
Tiêu đề: Getting to Know Your Data” in "Data Mining: "Concepts and Techniques
[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 Sách, tạp chí
Tiêu đề: Cluster Analysis: Basic Concepts and Methods” in "Data Mining: Concepts and Techniques
[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
[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
[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
[10] Jaccard P., “The distribution of the flora in the alpine zone”, New Phytologist, 1912, vol.11, pp. 37 – 50 Sách, tạp chí
Tiêu đề: The distribution of the flora in the alpine zone”, "New Phytologist
[11] Keogh E. and Folias T., “The UCR Time Series Data Mining Archive”, [http://www.cs.ucr.edu/~eamonn/TSDMA/index.html], 01 – 2015 Sách, tạp chí
Tiêu đề: The UCR Time Series Data Mining Archive
[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
[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 Sách, tạp chí
Tiêu đề: The UCR Time Series classification/Clustering Homepage
[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
[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
[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
[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
[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
[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
[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

TỪ KHÓA LIÊN QUAN

TÀI LIỆU CÙNG NGƯỜI DÙNG

TÀI LIỆU LIÊN QUAN