Quantile autocovariances: A powerful tool for hard and soft partitional clustering of time series
暂无分享,去创建一个
Pierpaolo D'Urso | Borja R. Lafuente-Rego | José Antonio Vilar | J. A. Vilar | P. D’Urso | B. Lafuente-Rego
[1] Jian Yu,et al. Alpha-Cut Implemented Fuzzy Clustering Algorithms and Switching Regressions , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[2] Pierpaolo D'Urso,et al. Clustering of financial time series , 2013 .
[3] Gerardo Beni,et al. A Validity Measure for Fuzzy Clustering , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Oliver Linton,et al. The Cross-Quantilogram: Measuring Quantile Dependence and Testing Directional Predictability between Time Series , 2014, 1402.1937.
[5] Elizabeth Ann Maharaj,et al. Time-Series Clustering , 2015 .
[6] Camille Roth,et al. Natural Scales in Geographical Patterns , 2017, Scientific Reports.
[7] Eamonn J. Keogh,et al. On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration , 2002, Data Mining and Knowledge Discovery.
[8] D. Piccolo. A DISTANCE MEASURE FOR CLASSIFYING ARIMA MODELS , 1990 .
[9] Eamonn J. Keogh,et al. Experimental comparison of representation methods and distance measures for time series data , 2010, Data Mining and Knowledge Discovery.
[10] Karsten Steinhaeuser,et al. Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in Climate , 2009, 2009 IEEE International Conference on Data Mining Workshops.
[11] Tapan Kamdar,et al. On Creating Adaptive Web Servers Using Weblog Mining , 2000 .
[12] Yongmiao Hong,et al. Generalized spectral tests for serial dependence , 2000 .
[13] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[14] Elizabeth Ann Maharaj,et al. Fuzzy clustering of time series in the frequency domain , 2011, Inf. Sci..
[15] Pierpaolo D'Urso,et al. Robust clustering of imprecise data , 2014 .
[16] Massimiliano Caporin,et al. Variance Clustering Improved Dynamic Conditional Correlation MGARCH Estimators , 2011, Comput. Stat. Data Anal..
[17] Andreas Hagemann,et al. Robust Spectral Analysis , 2011, 1111.1965.
[18] Massimiliano Caporin,et al. Fast Clustering of GARCH Processes Via Gaussian Mixture Models , 2012, Math. Comput. Simul..
[19] Pierpaolo D’Urso,et al. Autocorrelation-based fuzzy clustering of time series , 2009, Fuzzy Sets Syst..
[20] Francisco de A. T. de Carvalho,et al. Partitional fuzzy clustering methods based on adaptive quadratic distances , 2006, Fuzzy Sets Syst..
[21] James C. Bezdek,et al. On cluster validity for the fuzzy c-means model , 1995, IEEE Trans. Fuzzy Syst..
[22] José A. Vilar,et al. Discriminant and cluster analysis for Gaussian stationary processes: local linear fitting approach , 2004 .
[23] Oliver Linton,et al. The quantilogram: With an application to evaluating directional predictability , 2007 .
[24] William M. Rand,et al. Objective Criteria for the Evaluation of Clustering Methods , 1971 .
[25] Pablo Montero,et al. TSclust: An R Package for Time Series Clustering , 2014 .
[26] P. D’Urso,et al. Noise fuzzy clustering of time series by autoregressive metric , 2013 .
[27] R. Koenker. Quantile Regression: Name Index , 2005 .
[28] Suhasini Subba Rao,et al. The quantile spectral density and comparison based tests for nonlinear time series , 2011 .
[29] Howell Tong,et al. On tests for self-exciting threshold autoregressive-type non-linearity in partially observed time series , 1991 .
[30] Elizabeth Ann Maharaj,et al. Wavelet-based Fuzzy Clustering of Time Series , 2010, J. Classif..
[31] Doulaye Dembélé,et al. Fuzzy C-means Method for Clustering Microarray Data , 2003, Bioinform..
[32] Ta-Hsin Li,et al. Quantile Periodograms , 2012 .
[33] T. Warren Liao,et al. Clustering of time series data - a survey , 2005, Pattern Recognit..
[34] Jun Qu,et al. Grinding wheel condition monitoring with boosted minimum distance classifiers , 2008 .
[35] James C. Bezdek,et al. Efficient Implementation of the Fuzzy c-Means Clustering Algorithms , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Rotich Titus Kipkoech. Modeling Volatility under Normal and Student-t Distributional Assumptions (A Case Study of the Kenyan Exchange Rates) , 2014 .
[37] Chih-Kung Lee,et al. Novel Approach to Fuzzy-Wavelet ECG Signal Analysis for a Mobile Device , 2010, Journal of Medical Systems.
[38] Elizabeth Ann Maharaj,et al. Fuzzy clustering of time series using extremes , 2017, Fuzzy Sets Syst..
[39] Elizabeth Ann Maharaj,et al. A SIGNIFICANCE TEST FOR CLASSIFYING ARMA MODELS , 1996 .
[40] Borja Lafuente-Rego,et al. Clustering of time series using quantile autocovariances , 2016, Adv. Data Anal. Classif..
[41] Holger Dette,et al. Of Copulas, Quantiles, Ranks and Spectra - An L1-Approach to Spectral Analysis , 2011, 1111.7205.
[42] José Antonio Vilar,et al. Comparing Several Parametric and Nonparametric Approaches to Time Series Clustering: A Simulation Study , 2010, J. Classif..
[43] V. J. Rayward-Smith,et al. Fuzzy Cluster Analysis: Methods for Classification, Data Analysis and Image Recognition , 1999 .
[44] Pierpaolo D'Urso,et al. Autoregressive metric-based trimmed fuzzy clustering with an application to PM10 time series , 2017 .
[45] Edoardo Otranto,et al. Clustering heteroskedastic time series by model-based procedures , 2008, Comput. Stat. Data Anal..
[46] Geeta Sikka,et al. Recent Techniques of Clustering of Time Series Data: A Survey , 2012 .
[47] James C. Bezdek,et al. A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain , 1992, IEEE Trans. Neural Networks.
[48] Hans J. Skaug,et al. A nonparametric test of serial independence based on the empirical distribution function , 1993 .
[49] D. Peña,et al. Multivariate Analysis in Vector Time Series , 2000 .
[50] Luc Bauwens,et al. Bayesian Clustering of Many Garch Models , 2003 .
[51] Edoardo Otranto,et al. Identifying financial time series with similar dynamic conditional correlation , 2010, Comput. Stat. Data Anal..
[52] Carol Alexander,et al. Normal Mixture Garch(1,1): Applications to Exchange Rate Modelling , 2004 .
[53] Paul D. McNicholas,et al. Variable Selection for Clustering and Classification , 2013, J. Classif..
[54] Jorge Caiado,et al. A periodogram-based metric for time series classification , 2006, Comput. Stat. Data Anal..
[55] Tak-Chung Fu,et al. A review on time series data mining , 2011, Eng. Appl. Artif. Intell..
[56] L. Hubert,et al. Comparing partitions , 1985 .
[57] Elizabeth Ann Maharaj,et al. Autoregressive model-based fuzzy clustering and its application for detecting information redundancy in air pollution monitoring networks , 2013, Soft Comput..
[58] C. Hennig,et al. How to find an appropriate clustering for mixed‐type variables with application to socio‐economic stratification , 2013 .
[59] Christian Döring,et al. Data analysis with fuzzy clustering methods , 2006, Comput. Stat. Data Anal..
[60] T. Mikosch,et al. Limit theory for the sample autocorrelations and extremes of a GARCH (1,1) process , 2000 .
[61] José Antonio Vilar,et al. Classifying Time Series Data: A Nonparametric Approach , 2009, J. Classif..
[62] Pierpaolo D'Urso,et al. GARCH-based robust clustering of time series , 2016, Fuzzy Sets Syst..
[63] Jorge Caiado,et al. A GARCH-based method for clustering of financial time series: International stock markets evidence , 2007 .
[64] Frank Klawonn,et al. Fuzzy clustering: More than just fuzzification , 2015, Fuzzy Sets Syst..
[65] Piotr Indyk,et al. Mining the stock market (extended abstract): which measure is best? , 2000, KDD '00.
[66] Pierpaolo D'Urso,et al. Time series clustering by a robust autoregressive metric with application to air pollution , 2015 .
[67] Pierpaolo D'Urso,et al. A weighted fuzzy c , 2006, Comput. Stat. Data Anal..
[68] Richard A. Davis,et al. The extremogram: a correlogram for extreme events , 2009, 1001.1821.
[69] Ali S. Hadi,et al. Finding Groups in Data: An Introduction to Chster Analysis , 1991 .
[70] Ricardo J. G. B. Campello,et al. A fuzzy extension of the silhouette width criterion for cluster analysis , 2006, Fuzzy Sets Syst..
[71] R. Koenker. Quantile Regression: Fundamentals of Quantile Regression , 2005 .
[72] José A. Vilar,et al. Functional ANOVA starting from discrete data: an application to air quality data , 2013, Environmental and Ecological Statistics.
[73] Elizabeth Ann Maharaj,et al. Cluster of Time Series , 2000, J. Classif..
[74] Elizabeth Ann Maharaj,et al. Wavelets-based clustering of multivariate time series , 2012, Fuzzy Sets Syst..