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Communications in Statistics - Simulation and Computation Volume 28, 1999 - Issue 4
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Original Articles

Cluster analysis for directional data

Ulric Lund Department of Mathematics, Western Washington University, Bellingham, WA 98225
Pages 1001-1009 | Received 01 Jul 1998, Published online: 27 Jun 2007

Citations (15)

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Read on this site (4)

Luca Greco, Pier Luigi Novi Inverardi & Claudio Agostinelli. (2023) Finite Mixtures of Multivariate Wrapped Normal Distributions for Model Based Clustering of p-Torus Data. Journal of Computational and Graphical Statistics 32:3, pages 1215-1228.
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Michail Tsagris & Abdulaziz Alenazi. (2019) Comparison of discriminant analysis methods on the sphere. Communications in Statistics: Case Studies, Data Analysis and Applications 5:4, pages 467-491.
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Ahmed N. Albatineh, Meredith L. Wilcox, Bashar Zogheib & Magdalena Niewiadomska-Bugaj. (2019) How many clusters exist? Answer via maximum clustering similarity implemented in R. Biostatistics & Epidemiology 3:1, pages 62-79.
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Roberto Baragona. (2003) Further Results on Lund's Statistic for Identifying Cluster in a Circular Data Set with Application to Time Series. Communications in Statistics - Simulation and Computation 32:3, pages 943-952.
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Articles from other publishers (11)

Claudio Agostinelli, Luca Greco & Giovanni Saraceno. (2024) Weighted likelihood methods for robust fitting of wrapped models for p-torus data. AStA Advances in Statistical Analysis.
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Özge TEZEL, Buğra Kaan TİRYAKİ, Eda ÖZKUL & Orhan KESEMEN. (2023) A new measure of preferred direction for circular data using angular wrapping. Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics 72:3, pages 778-802.
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Luca Greco, Giovanni Saraceno & Claudio Agostinelli. (2021) Robust Fitting of a Wrapped Normal Model to Multivariate Circular Data and Outlier Detection. Stats 4:2, pages 454-471.
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Arthur Pewsey & Eduardo García-Portugués. (2021) Recent advances in directional statistics. TEST 30:1, pages 1-58.
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M. Ranalli & A. Maruotti. (2019) Model‐based clustering for noisy longitudinal circular data, with application to animal movement. Environmetrics 31:2.
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Josephine B. M. Benjamin, Ishtiaq Hussain & Miin-Shen Yang. (2019) Possiblistic C-Means Clustering on Directional Data. Possiblistic C-Means Clustering on Directional Data.
Orhan Kesemen, Özge Tezel & Eda Özkul. (2016) Fuzzy c-means clustering algorithm for directional data (FCM4DD). Expert Systems with Applications 58, pages 76-82.
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P. A. Sánchez-Pérez, M. Robles & O. A. Jaramillo. (2016) Real time Markov chains: Wind states in anemometric data. Journal of Renewable and Sustainable Energy 8:2.
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Ahmed N. Albatineh & Magdalena Niewiadomska-Bugaj. (2010) MCS: A Method for Finding the Number of Clusters. Journal of Classification 28:2, pages 184-209.
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Roberto Baragona, Francesco Battaglia & Irene PoliRoberto Baragona, Francesco Battaglia & Irene Poli. 2011. Evolutionary Statistical Procedures. Evolutionary Statistical Procedures 199 260 .
Roberto Baragona & Francesco Battaglia. 2009. Foundations of Computational Intelligence Volume 3. Foundations of Computational Intelligence Volume 3 347 386 .

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