Modified Gath–Geva clustering for fuzzy segmentation of multivariate time-series

Janos Abonyi; Balazs Feil; Sandor Nemeth; Peter Arva

doi:10.1016/j.fss.2004.07.008

Modified Gath–Geva clustering for fuzzy segmentation of multivariate time-series

Fuzzy Sets and Systems ◽

10.1016/j.fss.2004.07.008 ◽

2005 ◽

Vol 149 (1) ◽

pp. 39-56 ◽

Cited By ~ 87

Author(s):

Janos Abonyi ◽

Balazs Feil ◽

Sandor Nemeth ◽

Peter Arva

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Fuzzy Segmentation

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Batch Process Monitoring Based on Fuzzy Segmentation of Multivariate Time-Series

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN ◽

10.1252/jcej.16we193 ◽

2017 ◽

Vol 50 (1) ◽

pp. 53-63 ◽

Cited By ~ 2

Author(s):

Harakhun Tanatavikorn ◽

Yoshiyuki Yamashita

Keyword(s):

Time Series ◽

Process Monitoring ◽

Multivariate Time Series ◽

Batch Process ◽

Batch Process Monitoring ◽

Fuzzy Segmentation

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Adaptive G–G clustering for fuzzy segmentation of multivariate time series

Stochastic Environmental Research and Risk Assessment ◽

10.1007/s00477-020-01817-w ◽

2020 ◽

Vol 34 (9) ◽

pp. 1353-1367

Author(s):

Ling Wang ◽

Hui Zhu ◽

Gaofeng Jia

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Fuzzy Segmentation

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Discerning cognitive stages in a working memory and decision making task from human fMRI data using multivariate time series analysis

Frontiers in Computational Neuroscience ◽

10.3389/conf.fncom.2012.55.00228 ◽

2012 ◽

Vol 6 ◽

Author(s):

Durstewitz Daniel

Keyword(s):

Decision Making ◽

Working Memory ◽

Time Series ◽

Time Series Analysis ◽

Multivariate Time Series ◽

Fmri Data ◽

Series Analysis ◽

Multivariate Time Series Analysis

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Asymptotic Distributions of Functions of the Eigenvalues of the Sample Covariance Matrix and Canonical Correlation Matrix in Multivariate Time Series

10.21236/ada170282 ◽

1986 ◽

Author(s):

M. Taniguchi ◽

P. R. Krishnaiah

Keyword(s):

Time Series ◽

Covariance Matrix ◽

Canonical Correlation ◽

Correlation Matrix ◽

Multivariate Time Series ◽

Asymptotic Distributions ◽

Sample Covariance Matrix ◽

Sample Covariance

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Modeling Multivariate Time Series in Economics: From Auto-Regressions to Recurrent Neural Networks

SSRN Electronic Journal ◽

10.2139/ssrn.3589337 ◽

2020 ◽

Author(s):

Sergiy Verstyuk

Keyword(s):

Neural Networks ◽

Time Series ◽

Recurrent Neural Networks ◽

Multivariate Time Series

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Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data

10.21437/interspeech.2016-571 ◽

2016 ◽

Cited By ~ 5

Author(s):

Colin Vaz ◽

Asterios Toutios ◽

Shrikanth S. Narayanan

Keyword(s):

Time Series ◽

Convex Hull ◽

Matrix Factorization ◽

Time Series Data ◽

Multivariate Time Series ◽

Temporal Patterns ◽

Series Data ◽

Non Negative Matrix Factorization

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Multivariate time-series clustering based on component relationship networks

Expert Systems with Applications ◽

10.1016/j.eswa.2021.114649 ◽

2021 ◽

Vol 173 ◽

pp. 114649

Author(s):

Hailin Li ◽

Tian Du

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Time Series Clustering ◽

Relationship Networks

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Anomaly Detection of Periodic Multivariate Time Series under High Acquisition Frequency Scene in IoT

2020 International Conference on Data Mining Workshops (ICDMW) ◽

10.1109/icdmw51313.2020.00078 ◽

2020 ◽

Author(s):

Shuo Zhang ◽

XiaoFei Chen ◽

JiaYuan Chen ◽

Qiao Jiang ◽

Hejiao Huang

Keyword(s):

Time Series ◽

Anomaly Detection ◽

Multivariate Time Series

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Does volume or occupancy influence emergency access block? A multivariate time series analysis from a single emergency department in Sydney Australia during the COVID ‐19 pandemic

Emergency Medicine Australasia ◽

10.1111/1742-6723.13717 ◽

2021 ◽

Author(s):

Kendall Bein ◽

Saartje Berendsen Russell ◽

Sinéad Ní Bhraonáin ◽

Radhika V Seimon ◽

Michael M Dinh

Keyword(s):

Emergency Department ◽

Time Series ◽

Time Series Analysis ◽

Multivariate Time Series ◽

Series Analysis ◽

Multivariate Time Series Analysis ◽

Sydney Australia

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A C4.5 Fuzzy Decision Tree Method for Multivariate Time Series Forecasting

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz45933.2021.9494439 ◽

2021 ◽

Author(s):

Rafael R. C. Silva ◽

Walmir Matos Caminhas ◽

Petronio Candido de Lima e Silva ◽

Frederico Gadelha Guimaraes

Keyword(s):

Time Series ◽

Decision Tree ◽

Multivariate Time Series ◽

Time Series Forecasting ◽

Fuzzy Decision ◽

Fuzzy Decision Tree ◽

Decision Tree Method ◽

Tree Method

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