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Journal of Applied Statistics Volume 17, 1990 - Issue 2
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Original Articles

Cluster of time series models: an example

H. Tong Institute of Mathematics, University of Kent
&
P. Dabas Institute of Mathematics, University of Kent
Pages 187-198 | Published online: 05 Jun 2011

Citations (22)

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Read on this site (4)

Laura L. Tupper, Charles R. Keese & David S. Matteson. (2023) Classifying contaminated cell cultures using time series features. Journal of Applied Statistics 0:0, pages 1-17.
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João A. Bastos & Jorge Caiado. (2014) Clustering financial time series with variance ratio statistics. Quantitative Finance 14:12, pages 2121-2133.
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José A. Vilar & Sonia Pértega. (2004) Discriminant and cluster analysis for Gaussian stationary processes: local linear fitting approach. Journal of Nonparametric Statistics 16:3-4, pages 443-462.
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Elizabeth Ann Maharaj. (1996) A significance test for classifying arma models. Journal of Statistical Computation and Simulation 54:4, pages 305-331.
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Articles from other publishers (18)

Reşat KASAP. (2023) Examination of Pre-Founded Time-Series Models for Classic Canada Lynx Data by K-Means Cluster Method and BDS TestKlasik Kanada Lynx Verileri İçin Önceden Bulunmuş Zaman Serisi Modellerinin K-Means Küme Yöntemi ve BDS Testi ile İncelenmesi. İstatistik ve Uygulamalı Bilimler Dergisi:7, pages 18-25.
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Thanawat Srikaewsiew, Khatadet Khianchainat, Atima Tharatipyakul, Suporn Pongnumkul & Sarunya Kanjanawattana. (2022) A Comparison of the Instructor-Trainee Dance Dataset Using Cosine similarity, Euclidean distance, and Angular difference. A Comparison of the Instructor-Trainee Dance Dataset Using Cosine similarity, Euclidean distance, and Angular difference.
Dina M. Yousri. 2022. Climate Change and Environmental Sustainability. Climate Change and Environmental Sustainability 185 193 .
Pierpaolo D’Urso, Livia De Giovanni, Riccardo Massari, Rita L. D’Ecclesia & Elizabeth Ann Maharaj. (2020) Cepstral-based clustering of financial time series. Expert Systems with Applications 161, pages 113705.
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Jorge Caiado, Nuno Crato & Pilar Poncela. (2019) A fragmented-periodogram approach for clustering big data time series. Advances in Data Analysis and Classification 14:1, pages 117-146.
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Carmela Iorio, Gianluca Frasso, Antonio D’Ambrosio & Roberta Siciliano. (2018) A P-spline based clustering approach for portfolio selection. Expert Systems with Applications 95, pages 88-103.
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Ryan F. Schkoda, Robert B. Lund & John R. Wagner. (2014) Clustering of Cyclostationary Signals with Applications to Climate Station Sitings, Eliminations, and Merges. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7:5, pages 1754-1762.
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Sonia Pértega Díaz & José A. Vilar. (2010) Comparing Several Parametric and Nonparametric Approaches to Time Series Clustering: A Simulation Study. Journal of Classification 27:3, pages 333-362.
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Giulio Palomba, Emma Sarno & Alberto Zazzaro. (2008) Testing similarities of short-run inflation dynamics among EU-25 countries after the Euro. Empirical Economics 37:2, pages 231-270.
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Juan Manuel Vilar, José Antonio Vilar & Sonia Pértega. (2009) Classifying Time Series Data: A Nonparametric Approach. Journal of Classification 26:1, pages 3-28.
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Monica Chiş, Soumya Banerjee & Aboul Ella Hassanien. 2009. Foundations of Computational, IntelligenceVolume 6. Foundations of Computational, IntelligenceVolume 6 193 207 .
Marcella Corduas & Domenico Piccolo. (2008) Time series clustering and classification by the autoregressive metric. Computational Statistics & Data Analysis 52:4, pages 1860-1872.
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Mahesh Kumar & Nitin R. Patel. (2007) Clustering data with measurement errors. Computational Statistics & Data Analysis 51:12, pages 6084-6101.
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Jorge Caiado, Nuno Crato & Daniel Peña. (2006) A periodogram-based metric for time series classification. Computational Statistics & Data Analysis 50:10, pages 2668-2684.
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Roberto Baragona & Salvatore Vitrano. 2006. Data Analysis, Classification and the Forward Search. Data Analysis, Classification and the Forward Search 3 10 .
P. D'Urso. (2005) Fuzzy Clustering for Data Time Arrays With Inlier and Outlier Time Trajectories. IEEE Transactions on Fuzzy Systems 13:5, pages 583-604.
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R. Baragona, F. Battaglia & D. Cucina. (2004) Fitting piecewise linear threshold autoregressive models by means of genetic algorithms. Computational Statistics & Data Analysis 47:2, pages 277-295.
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PIERPAOLO D'URSO. (2011) FUZZY C-MEANS CLUSTERING MODELS FOR MULTIVARIATE TIME-VARYING DATA: DIFFERENT APPROACHES. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12:03, pages 287-326.
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