k-Shape: Efficient and Accurate Clustering of Time Series
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[1] Eamonn J. Keogh,et al. Logical-shapelets: an expressive primitive for time series classification , 2011, KDD.
[2] Francesco Masulli,et al. A survey of kernel and spectral methods for clustering , 2008, Pattern Recognit..
[3] Eamonn J. Keogh,et al. Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data , 2011, 2011 IEEE 11th International Conference on Data Mining.
[4] Michalis Vazirgiannis,et al. c ○ 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. On Clustering Validation Techniques , 2022 .
[5] Eamonn J. Keogh,et al. Making Time-Series Classification More Accurate Using Learned Constraints , 2004, SDM.
[6] T. Warren Liao,et al. Clustering of time series data - a survey , 2005, Pattern Recognit..
[7] L. Gupta,et al. Nonlinear alignment and averaging for estimating the evoked potential , 1996, IEEE Transactions on Biomedical Engineering.
[8] M. Friedman. The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .
[9] Hao Wang,et al. Durable Queries over Historical Time Series , 2014, IEEE Transactions on Knowledge and Data Engineering.
[10] Eamonn J. Keogh,et al. Time series shapelets: a new primitive for data mining , 2009, KDD.
[11] Dina Q. Goldin,et al. On Similarity Queries for Time-Series Data: Constraint Specification and Implementation , 1995, CP.
[12] Aristides Gionis,et al. Correlating financial time series with micro-blogging activity , 2012, WSDM '12.
[13] Eamonn J. Keogh,et al. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping , 2012, KDD.
[14] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[15] Eamonn J. Keogh,et al. CID: an efficient complexity-invariant distance for time series , 2013, Data Mining and Knowledge Discovery.
[16] Shuai Wang,et al. Mining of Moving Objects from Time-Series Images and its Application to Satellite Weather Imagery , 2004, Journal of Intelligent Information Systems.
[17] Steve Goddard,et al. Geospatial decision support for drought risk management , 2003, CACM.
[18] Gareth J. Janacek,et al. Clustering time series from ARMA models with clipped data , 2004, KDD.
[19] S. Chiba,et al. Dynamic programming algorithm optimization for spoken word recognition , 1978 .
[20] Ge Yu,et al. Similarity Match Over High Speed Time-Series Streams , 2007, 2007 IEEE 23rd International Conference on Data Engineering.
[21] Donald J. Berndt,et al. Using Dynamic Time Warping to Find Patterns in Time Series , 1994, KDD Workshop.
[22] Dimitrios Gunopulos,et al. Indexing Multidimensional Time-Series , 2004, The VLDB Journal.
[23] Dimitrios Gunopulos,et al. Discovering similar multidimensional trajectories , 2002, Proceedings 18th International Conference on Data Engineering.
[24] Jignesh M. Patel,et al. An efficient and accurate method for evaluating time series similarity , 2007, SIGMOD '07.
[25] Konstantinos Kalpakis,et al. Distance measures for effective clustering of ARIMA time-series , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[26] Hui Ding,et al. Querying and mining of time series data: experimental comparison of representations and distance measures , 2008, Proc. VLDB Endow..
[27] Gene H. Golub,et al. Matrix computations , 1983 .
[28] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[29] Yunhao Liu,et al. Indexable PLA for Efficient Similarity Search , 2007, VLDB.
[30] Nikos Mamoulis,et al. Fast and Exact Warping of Time Series Using Adaptive Segmental Approximations , 2005, Machine Learning.
[31] Jure Leskovec,et al. Patterns of temporal variation in online media , 2011, WSDM '11.
[32] Philip S. Yu,et al. MALM: a framework for mining sequence database at multiple abstraction levels , 1998, CIKM '98.
[33] Tim Oates,et al. Identifying distinctive subsequences in multivariate time series by clustering , 1999, KDD '99.
[34] Heikki Mannila,et al. Rule Discovery from Time Series , 1998, KDD.
[35] Yannis Theodoridis,et al. Index-based Most Similar Trajectory Search , 2007, 2007 IEEE 23rd International Conference on Data Engineering.
[36] Pierre Gançarski,et al. A global averaging method for dynamic time warping, with applications to clustering , 2011, Pattern Recognit..
[37] Qiang Wang,et al. A multiresolution symbolic representation of time series , 2005, 21st International Conference on Data Engineering (ICDE'05).
[38] R. Mantegna. Hierarchical structure in financial markets , 1998, cond-mat/9802256.
[39] Eamonn J. Keogh,et al. Experimental comparison of representation methods and distance measures for time series data , 2010, Data Mining and Knowledge Discovery.
[40] Dit-Yan Yeung,et al. Mixtures of ARMA models for model-based time series clustering , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[41] Lei Chen,et al. Robust and fast similarity search for moving object trajectories , 2005, SIGMOD '05.
[42] Christos Faloutsos,et al. Efficient Similarity Search In Sequence Databases , 1993, FODO.
[43] Kuniaki Uehara,et al. Extraction of Primitive Motion and Discovery of Association Rules from Human Motion Data , 2002, Progress in Discovery Science.
[44] Dimitrios Gunopulos,et al. Embedding-based subsequence matching in time-series databases , 2011, TODS.
[45] Raymond T. Ng,et al. Indexing spatio-temporal trajectories with Chebyshev polynomials , 2004, SIGMOD '04.
[46] Vit Niennattrakul,et al. Shape-Based Clustering for Time Series Data , 2012, PAKDD.
[47] R. E. Lee,et al. Distribution-free multiple comparisons between successive treatments , 1995 .
[48] Lei Chen,et al. On The Marriage of Lp-norms and Edit Distance , 2004, VLDB.
[49] Eamonn J. Keogh,et al. Time Series Classification under More Realistic Assumptions , 2013, SDM.
[50] Eamonn J. Keogh,et al. Clustering Time Series Using Unsupervised-Shapelets , 2012, 2012 IEEE 12th International Conference on Data Mining.
[51] Steven G. Johnson,et al. The Design and Implementation of FFTW3 , 2005, Proceedings of the IEEE.
[52] Y. Katznelson. An Introduction to Harmonic Analysis: Interpolation of Linear Operators , 1968 .
[53] Anthony K. H. Tung,et al. SpADe: On Shape-based Pattern Detection in Streaming Time Series , 2007, 2007 IEEE 23rd International Conference on Data Engineering.
[54] R. Suganya,et al. Data Mining Concepts and Techniques , 2010 .
[55] Eamonn J. Keogh. A decade of progress in indexing and mining large time series databases , 2006, VLDB.
[56] Eamonn J. Keogh,et al. Locally adaptive dimensionality reduction for indexing large time series databases , 2001, SIGMOD '01.
[57] Gustavo E. A. P. A. Batista,et al. An Empirical Comparison of Dissimilarity Measures for Time Series Classification , 2013, 2013 Brazilian Conference on Intelligent Systems.
[58] Dragomir Anguelov,et al. Mining The Stock Market : Which Measure Is Best ? , 2000 .
[59] Tommi S. Jaakkola,et al. A new approach to analyzing gene expression time series data , 2002, RECOMB '02.
[60] Vladimir Pavlovic,et al. Discovering clusters in motion time-series data , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[61] Ada Wai-Chee Fu,et al. Efficient time series matching by wavelets , 1999, Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337).
[62] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[63] Eamonn J. Keogh,et al. Exact indexing of dynamic time warping , 2002, Knowledge and Information Systems.
[64] Luis Gravano,et al. k-Shape: Efficient and Accurate Clustering of Time Series , 2015, SIGMOD Conference.
[65] William M. Rand,et al. Objective Criteria for the Evaluation of Clustering Methods , 1971 .
[66] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[67] Eamonn J. Keogh,et al. Clustering of time-series subsequences is meaningless: implications for previous and future research , 2004, Knowledge and Information Systems.
[68] Clu-istos Foutsos,et al. Fast subsequence matching in time-series databases , 1994, SIGMOD '94.
[69] Christos Faloutsos,et al. Efficiently supporting ad hoc queries in large datasets of time sequences , 1997, SIGMOD '97.
[70] J. Tukey,et al. An algorithm for the machine calculation of complex Fourier series , 1965 .
[71] C. Ratanamahatana,et al. Shape averaging under Time Warping , 2009, 2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.