Results 31 to 40 of about 18,151,622 (163)

Abridged Symbolic Representation of Time Series for Clustering

Acta Universitatis Lodziensis. Folia Oeconomica, 2019
In recent years a couple of methods aimed at time series symbolic representation have been introduced or developed. This activity is mainly justified by practical considerations such memory savings or fast data base searching.
Jerzy Korzeniewski
doaj   +1 more source

Temporal clustering by affinity propagation reveals transcriptional modules in Arabidopsis thaliana [PDF]

, 2009
Motivation: Identifying regulatory modules is an important task in the exploratory analysis of gene expression time series data. Clustering algorithms are often used for this purpose.
Buchanan-Wollaston, Vicky, Kiddle, Steven J, Denby, Katherine J, Denby, Katherine J., Mukherjee, Sach, Mead, Andrew, Windram, Oliver P F, Windram, Oliver P., Kiddle, Steven J., McHattie, Stuart, Mead, A. (Andrew), Beynon, Jim   +11 more
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Unsupervised Multivariate Time Series Clustering [PDF]

, 2021
Clustering is widely used in unsupervised machine learning to partition a given set of data into non-overlapping groups. Many real-world applications require processing more complex multivariate time series data characterized by more than one dependent ...
Glandon, Alex, Vidyaratne, Lasitha, Iftekharuddin, Khan, Rahman, Md Monibor   +3 more
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JET: Fast Estimation of Hierarchical Time Series Clustering

Engineering Proceedings
Clustering is an effective, unsupervised classification approach for time series analysis applications that suffer a natural lack of training data. One such application is the development of jet engines, which involves numerous test runs and failure ...
Phillip Wenig, Mathias Höfgen, Thorsten Papenbrock   +2 more
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Optimised meta-clustering approach for clustering Time Series Matrices [PDF]

, 2018
The prognostics (health state) of multiple components represented as time series data stored in vectors and matrices were processed and clustered more effectively and efficiently using the newly devised ‘Meta-Clustering’ approach.
Movahdisavehmotlagh, A.
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Time-series clustering via quasi U-statistics

, 2015
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)The problem of time-series discrimination and classification is discussed. We propose a novel clustering algorithm based on a
Pinheiro, A, Valk, M
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Smart Meters Time Series Clustering for Demand Response Applications in the Context of High Penetration of Renewable Energy Resources

Energies, 2021
The variability in generation introduced in the electrical system by an increasing share of renewable technologies must be addressed by balancing mechanisms, demand response being a prominent one.
Santiago Bañales, Raquel Dormido, Natividad Duro   +2 more
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Clustering of Time Series Data for Enhanced Forecasting: A Comparative Study and Practical Applications

, 2023
reservedTime series forecasting plays a pivotal role in various domains, such as finance, healthcare, and supply chain management. Traditional forecasting methods often assume that all time series follow a similar pattern, which may not hold true in real-
SARTORI, FRANCESCO
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Hints of Earlier and Other Creation: Unsupervised Machine Learning in Financial Time-Series Analysis

Engineering Proceedings, 2023
This study extends previous work applying unsupervised machine learning to commodity markets. The first article in this sequence examined returns and volatility in commodity markets. The clustering of these time series supported the conventional ontology
James Ming Chen, Charalampos Agiropoulos
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Incremental fuzzy C medoids clustering of time series data using dynamic time warping distance. [PDF]

PLoS ONE, 2018
Clustering time series data is of great significance since it could extract meaningful statistics and other characteristics. Especially in biomedical engineering, outstanding clustering algorithms for time series may help improve the health level of ...
Yongli Liu, Jingli Chen, Shuai Wu, Zhizhong Liu, Hao Chao   +4 more
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