Clustering complex time-series databases by using periodic components

[1]  Philip S. Yu,et al.  On Periodicity Detection and Structural Periodic Similarity , 2005, SDM.

[2]  Andrea Tagarelli,et al.  Low-voltage electricity customer profiling based on load data clustering , 2009, IDEAS '09.

[3]  Xiaozhe Wang,et al.  Characteristic-Based Clustering for Time Series Data , 2006, Data Mining and Knowledge Discovery.

[4]  Enrico Carpaneto,et al.  Electricity customer classification using frequency–domain load pattern data , 2006 .

[5]  Ignacio N. Lobato,et al.  A NONPARAMETRIC TEST FOR I(0) , 1998 .

[6]  D. Politis,et al.  On the range of validity of the autoregressive sieve bootstrap , 2012, 1201.6211.

[7]  Dit-Yan Yeung,et al.  Time series clustering with ARMA mixtures , 2004, Pattern Recognit..

[8]  Marcella Corduas,et al.  Time series clustering and classification by the autoregressive metric , 2008, Comput. Stat. Data Anal..

[9]  T. Warren Liao,et al.  Clustering of time series data - a survey , 2005, Pattern Recognit..

[10]  Shuen-Lin Jeng,et al.  Time Series Classification Based on Spectral Analysis , 2007, Commun. Stat. Simul. Comput..

[11]  Pietro Ferraro,et al.  Clustering analysis of the electrical load in european countries , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

[12]  Yaniv Assaf,et al.  Cluster analysis of resting-state fMRI time series , 2009, NeuroImage.

[13]  Marco Raugi,et al.  Analysis of spectral clustering algorithms for linear and nonlinear time series , 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

[14]  S. Holm.  A Simple Sequentially Rejective Multiple Test Procedure , 1979 .

[15]  K. Fokianos,et al.  Biological applications of time series frequency domain clustering , 2012 .

[16]  Y. Benjamini,et al.  THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .

[17]  H. White,et al.  A Reality Check for Data Snooping , 2000 .

[18]  Nathan Intrator,et al.  Cluster analysis and classification of heart sounds , 2009, Biomed. Signal Process. Control..

[19]  Jan Beran,et al.  Estimation of the Dominating Frequency for Stationary and Nonstationary Fractional Autoregressive Models , 2000 .

[20]  Jorge Caiado,et al.  A periodogram-based metric for time series classification , 2006, Comput. Stat. Data Anal..

[21]  Holger Dette,et al.  Bootstrapping frequency domain tests in multivariate time series with an application to comparing spectral densities , 2009 .

[22]  D. Piccolo.  A DISTANCE MEASURE FOR CLASSIFYING ARIMA MODELS , 1990 .

[23]  B. De Moor,et al.  Short-term load forecasting, profile identification, and customer segmentation: a methodology based on periodic time series , 2005, IEEE Transactions on Power Systems.

[24]  Joseph P. Romano,et al.  Generalizations of the familywise error rate , 2005, math/0507420.

[25]  Alicia Troncoso Lora,et al.  Pattern recognition to forecast seismic time series , 2010, Expert Syst. Appl..

[26]  Carlos Agón,et al.  Time-series data mining , 2012, CSUR.

[27]  Geoffrey J McLachlan,et al.  Spatial clustering of time series via mixture of autoregressions models and Markov random fields , 2016, 1601.03517.