Search Results - Clustering of Time Series Data and Algorithms

Application of the k-medoids Partitioning Algorithm for Clustering of Time Series Data

Authors: Radovanovic, Ana Ye, Xinlin Milanovic, Jovica V. et al.

Source: Radovanovic, A, Ye, X, Milanovic, J V, Milosavljevic, N & Storchi, R 2020, 'Application of the k-medoids Partitioning Algorithm for Clustering of Time Series Data', Paper presented at 2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), The Hague, Netherlands, 26/10/20-28/10/20 pp. 645-649. https://doi.org/10.1109/ISGT-Europe47291.2020.9248796
2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

Subject Terms: K-medoids algorithm, Time series clustering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Data mining, 7. Clean energy, Electric power system, Neuroscience

File Description: application/pdf

Access URL: https://www.research.manchester.ac.uk/portal/files/183517225/Application_of_the_k_medoids_partitioning_algorithm_for_clustering_of_time_series_data_Pure.pdf
https://www.research.manchester.ac.uk/portal/en/publications/application-of-the-kmedoids-partitioning-algorithm-for-clustering-of-time-series-data(ad142637-97d8-4bf5-b308-a5c2e9f57a16).html
https://www.research.manchester.ac.uk/portal/files/183517225/Application_of_the_k_medoids_partitioning_algorithm_for_clustering_of_time_series_data_Pure.pdf
https://dblp.uni-trier.de/db/conf/isgteurope/isgteurope2020.html#RadovanovicYMMS20
http://www.scopus.com/inward/record.url?scp=85097333151&partnerID=8YFLogxK
https://doi.org/10.1109/ISGT-Europe47291.2020.9248796
https://pure.manchester.ac.uk/ws/files/183517225/Application_of_the_k_medoids_partitioning_algorithm_for_clustering_of_time_series_data_Pure.pdf
https://www.mendeley.com/catalogue/f2e4607e-437e-3dff-9b35-68cb0a00fbc9/
https://research.manchester.ac.uk/en/publications/ad142637-97d8-4bf5-b308-a5c2e9f57a16

Dynamic Clustering of Multivariate Time Series: Modeling Time‐Varying Memberships.

Authors: Sartorio, Victhor Fonseca, Thaís C. O.

Source: Statistical Analysis & Data Mining. Oct2025, Vol. 18 Issue 5, p1-19. 19p.

Subject Terms: *CLUSTERING algorithms, *TIME series analysis, *EXPECTATION-maximization algorithms, *GIBBS sampling, *DYNAMIC models

Unsupervised feature based algorithms for time series extrinsic regression

Authors: David Guijo-Rubio Matthew Middlehurst Guilherme Arcencio et al.

Source: Data Mining and Knowledge Discovery. 38:2141-2185

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Economics and Econometrics, Artificial intelligence, Time series, Feature (linguistics), Social Sciences, Machine Learning (stat.ML), 02 engineering and technology, Econophysics: Complexity in Financial Markets, Clustering of Time Series Data and Algorithms, Pattern recognition (psychology), Feature Extraction, Machine Learning (cs.LG), Unsupervised, Anomaly Detection in High-Dimensional Data, Agent-Based Modeling, Statistics - Machine Learning, Artificial Intelligence, Machine learning, Series (stratigraphy), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Biology, Dynamic Time Warping, Statistics, Nonstationary Time Series, Paleontology, Linguistics, Computer science, Regression, FOS: Philosophy, ethics and religion, Algorithm, Economics, Econometrics and Finance, Philosophy, Signal Processing, Computer Science, Physical Sciences, FOS: Languages and literature, Mathematics

Access URL: http://arxiv.org/abs/2305.01429

First-break prediction in 3-D land seismic data using the dynamic time warping algorithm

Authors: Wilker E. Souza Alexsandro Guerra Cerqueira Milton J. Porsani

Source: Geophysical Journal International. 237:402-418

Subject Terms: Earthquake Detection, Artificial intelligence, 4. Education, Geology, FOS: Earth and related environmental sciences, Clustering of Time Series Data and Algorithms, Machine Learning for Earthquake Early Warning Systems, Computer science, Algorithm, Real-Time Seismology, Artificial Intelligence, Signal Processing, Computer Science, Physical Sciences, Seismic Phase Picking, Dynamic time warping, Seismology, Geodesy, Dynamic Time Warping

Evolving interval-based time series clustering for streaming industrial data

Authors: Žiga Stržinar Igor Škrjanc Boštjan Pregelj

Source: Evolving Systems. 16

Application of Agglomerative Hierarchical Clustering for Clustering of Time Series Data

Authors: Radovanovic, Ana Li, Junshi Milanovic, Jovica V. et al.

Source: Radovanovic, A, Li, J, Milanovic, J V, Milosavljevic, N & Storchi, R 2020, Application of Agglomerative Hierarchical Clustering for Clustering of Time Series Data. in Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020. IEEE PES Innovative Smart Grid Technologies Conference Europe, vol. 2020-October, IEEE, New York, pp. 640-644, 2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), The Hague, Netherlands, 26/10/20. https://doi.org/10.1109/ISGT-Europe47291.2020.9248759, https://doi.org/10.1109/isgt-europe47291.2020.9248759
2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, Hierarchical clustering algorithm, 02 engineering and technology, Clustering, Electric power system, Neuroscience

File Description: application/pdf

Access URL: https://www.research.manchester.ac.uk/portal/files/195470491/Application_of_Agglomerative_Hierarchical_Clustering_Algorithm_for_Clustering_of_Time_Series_Data_Pure.pdf
https://research.manchester.ac.uk/en/publications/4cd0ce1a-e07e-4378-9a99-8f0b3cc6772f
https://doi.org/10.1109/ISGT-Europe47291.2020.9248759
https://www.research.manchester.ac.uk/portal/en/publications/application-of-agglomerative-hierarchical-clustering-for-clustering-of-time-series-data(4cd0ce1a-e07e-4378-9a99-8f0b3cc6772f).html
https://dblp.uni-trier.de/db/conf/isgteurope/isgteurope2020.html#RadovanovicLMMS20
https://www.research.manchester.ac.uk/portal/files/195470491/Application_of_Agglomerative_Hierarchical_Clustering_Algorithm_for_Clustering_of_Time_Series_Data_Pure.pdf
https://pure.manchester.ac.uk/ws/files/195470491/Application_of_Agglomerative_Hierarchical_Clustering_Algorithm_for_Clustering_of_Time_Series_Data_Pure.pdf
https://www.mendeley.com/catalogue/cffb912f-7f8e-3dc6-add9-de35c77809eb/
https://research.manchester.ac.uk/en/publications/4cd0ce1a-e07e-4378-9a99-8f0b3cc6772f
http://www.scopus.com/inward/record.url?scp=85097350256&partnerID=8YFLogxK
https://doi.org/10.1109/ISGT-Europe47291.2020.9248759

Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods

Authors: Quoc-Dung Ngo Ly-Huynh Phan

Source: IEEE Access, Vol 13, Pp 139018-139032 (2025)

Subject Terms: Multivariate time-series clustering, building indoor measurements, sensor data analysis, indoor environmental monitoring, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11115045/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/6fed00348cc74738a930df843636dae0

An Efficient Temporal Inter-Object Association Rule Mining Algorithm on Time Series

Authors: Nguyen Thanh Vu Vo Thi Ngoc Chau

Source: Vietnam Journal of Computer Science, Vol 09, Iss 04, Pp 475-510 (2022)

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Time series, Association (psychology), Trajectory Data Mining and Analysis, Geometry, temporal pattern mining, Information technology, Epistemology, Clustering of Time Series Data and Algorithms, 7. Clean energy, Cluster analysis, Point (geometry), Data Mining Techniques and Applications, Machine learning, Temporal Data Mining, Series (stratigraphy), FOS: Mathematics, Pattern Discovery, Data mining, Biology, Dynamic Time Warping, Association rule mining, Association rule learning, parallel temporal pattern tree, 4. Education, Paleontology, QA75.5-76.95, T58.5-58.64, 16. Peace & justice, Computer science, Process (computing), FOS: Philosophy, ethics and religion, Algorithm, Philosophy, Operating system, Frequent Patterns, Electronic computers. Computer science, Trajectory Data Mining, time series mining, Computer Science, Physical Sciences, Signal Processing, Object (grammar), Mathematics, multithreading, Information Systems

Access URL: https://doaj.org/article/c5487e5dd9e8484eb7718498f146edb5

Incremental Clustering for Time Series Data Based on an Improved Leader Algorithm

Authors: Vo Thi Ngoc Chau Huynh Thi Thu Thuy Duong Tuan Anh

Source: 2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF). :1-6

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/document/8713702
https://dblp.uni-trier.de/db/conf/rivf/rivf2019.html#ThuyAC19

Evolving interval-based time series clustering for streaming industrial data.

Authors: Stržinar, Žiga Škrjanc, Igor Pregelj, Boštjan

Source: Evolving Systems; Sep2025, Vol. 16 Issue 3, p1-17, 17p

A modified Kohonen map algorithm for clustering time series data

Authors: Jayanth Krishnan, K. Mitra, Kishalay

Index Terms: Chemical Engineering, Article, PeerReviewed

URL: http://raiith.iith.ac.in/9312/1/Expert_Systems_With_Applications.pdf
http://raiith.iith.ac.in/9312/
https://doi.org/10.1016/j.eswa.2022.117249
http://raiith.iith.ac.in/9312
https://doi.org/10.1016/j.eswa.2022.117249
doi.org/10.1016/j.eswa.2022.117249

Clustering Multivariate Time Series Data Based on Shape Extraction with Compactness Constraint

Authors: ZHANG Chi, CHEN Mei, ZHANG Jinhong

Source: Jisuanji kexue yu tansuo, Vol 18, Iss 5, Pp 1243-1258 (2024)

Subject Terms: multivariate time series clustering, down-sampling, similarity measurement, shape extraction, time series compactness, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: http://fcst.ceaj.org/fileup/1673-9418/PDF/2212038.pdf; https://doaj.org/toc/1673-9418

Access URL: https://doaj.org/article/d5b2ee27c7d24cd8bde03035b9e8c8f2

A Fast Weighted Fuzzy C-Medoids Clustering for Time Series Data Based on P-Splines.

Authors: Xu, Jiucheng Hou, Qinchen Qu, Kanglin et al.

Source: Sensors (14248220); Aug2022, Vol. 22 Issue 16, p6163-6163, 19p

Subject Terms: TIME series analysis, STATISTICS, FUZZY clustering technique, ELECTRONIC data processing, SEARCH algorithms

Time Series Forecasting with Data Transform and Its Application in Sport

Authors: H. Do Duc Phu Chau Thuc Cai et al.

Source: Annals of computer science and information systems, Vol 27, Pp 29-32 (2022)

Subject Terms: 0301 basic medicine, Artificial intelligence, 0303 health sciences, Time series, Paleontology, Geology, Information technology, QA75.5-76.95, FOS: Earth and related environmental sciences, T58.5-58.64, Clustering of Time Series Data and Algorithms, Computer science, 03 medical and health sciences, Electronic computers. Computer science, Signal Processing, Computer Science, Physical Sciences, Machine learning, Series (stratigraphy), Data mining, Dynamic Time Warping

Access URL: https://annals-csis.org/proceedings/rice2021/drp/pdf/06.pdf
https://doaj.org/article/6510248b8e3f4b2dbe99f4adc6f22f98

HEAT: Hierarchical-constrained Encoder-Assisted Time series clustering for fault detection in district heating substations

Authors: van Dreven, Jonne Cheddad, Abbas Ghazi, Ahmad Nauman et al.

Source: Energy and AI. 21

Subject Terms: Clustering, Semi-supervised learning, Fault detection, District heating

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-28499
https://doi.org/10.1016/j.egyai.2025.100548

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data

Authors: C. P. Sun Shenda Hong Moxian Song et al.

Source: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. :3010-3016

Subject Terms: Artificial neural network, FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, Photonic Reservoir Computing for Neural Computation, Time series, Computer Science - Artificial Intelligence, Recurrent neural network, 02 engineering and technology, Clustering of Time Series Data and Algorithms, Pattern recognition (psychology), Feature Extraction, Echo State Networks, Filter (signal processing), Machine Learning (cs.LG), Artificial Intelligence, GRASP, State (computer science), Machine learning, Series (stratigraphy), 0202 electrical engineering, electronic engineering, information engineering, Pattern Discovery, Encoding (memory), Data mining, Biology, Dynamic Time Warping, Reservoir computing, Echo state network, Paleontology, Neural Network Fundamentals and Applications, Sampling (signal processing), Computer science, Process (computing), Programming language, Algorithm, Operating system, Artificial Intelligence (cs.AI), Computer Science, Physical Sciences, Signal Processing, Computer vision, Time domain

Access URL: https://www.ijcai.org/proceedings/2021/0414.pdf
http://arxiv.org/abs/2105.00412
https://dblp.uni-trier.de/db/conf/ijcai/ijcai2021.html#SunHSCSC021
https://arxiv.org/abs/2105.00412
https://doi.org/10.24963/ijcai.2021/414
https://www.ijcai.org/proceedings/2021/0414.pdf
https://www.ijcai.org/proceedings/2021/414

1DCAE-TSSAMC: Two-Stage Multi-Dimensional Spatial Features Based Multi-View Deep Clustering for Time Series Data

Authors: Jianglong Chen Weiwei Song Xiaoqing Zuo et al.

Source: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 32:593-623

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Hybrid clustering algorithm for time series data — A literature survey

Authors: K. Venugopal Rao T. Rajesh Y. Sravani Devi

Source: 2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC). :343-347

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/document/8070861/

Exploration and Performance Analysis of Clustering Algorithms for Time-Series Data with Dimension Reduction

Authors: Lingstad, Aleksander Markus Hansen, Daniel Nguyen Suvatne, Marius et al.

Contributors: Lingstad, Aleksander Markus Hansen, Daniel Nguyen Suvatne, Marius et al.

Availability: https://hdl.handle.net/11250/3020370

Autoencoder-Enhanced Clustering: A Dimensionality Reduction Approach to Financial Time Series

Authors: Daniel González Cortés Enrique Onieva Iker Pastor López et al.

Source: IEEE Access, Vol 12, Pp 16999-17009 (2024)

Subject Terms: financial data processing, 0202 electrical engineering, electronic engineering, information engineering, neural network applications, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Clustering methods, time series, data compression, TK1-9971

Access URL: https://doaj.org/article/04c239e64151499aac3ed9a8a80092f9