Results 31 to 40 of about 303,598 (207)

Automatic Registration and Clustering of Time Series [PDF]

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
To appear in ICASSP ...
Michael Weylandt, George Michailidis
openaire   +2 more sources

INGARCH-based fuzzy clustering of count time series with a football application

Machine Learning with Applications, 2022
Although there are many contributions in the time series clustering literature, few studies still deal with count time series data. This paper aims to develop a fuzzy clustering procedure for count time series data.
Roy Cerqueti, Pierpaolo D’Urso, Livia De Giovanni, Raffaele Mattera, Vincenzina Vitale   +4 more
doaj   +1 more source

Time series clustering in large data sets

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2011
The clustering of time series is a widely researched area. There are many methods for dealing with this task. We are actually using the Self-organizing map (SOM) with the unsupervised learning algorithm for clustering of time series.
Jiří Fejfar, Jiří Šťastný
doaj   +1 more source

Review of Multivariate Time Series Clustering Algorithms [PDF]

Jisuanji kexue yu tansuo
Multivariate time series (MTS) data, serving as a crucial basis for intelligent technologies across numerous domains, record the state changes of multiple variables in systems over time.
ZHENG Desheng, SUN Hanming, WANG Liyuan, DUAN Yaoxin, LI Xiaoyu
doaj   +1 more source

Topic Network Analysis Based on Co-Occurrence Time Series Clustering

Mathematics, 2022
Traditional topic research divides similar topics into the same cluster according to clustering or classification from the perspective of users, which ignores the deep relationship within and between topics. In this paper, topic analysis is achieved from
Weibin Lin, Xianli Wu, Zhengwei Wang, Xiaoji Wan, Hailin Li   +4 more
doaj   +1 more source

Clustering time series applied to energy markets

Energy Informatics, 2019
In Germany and many other countries the energy market has been subject to significant changes. Instead of only a few large-scale producers that serve aggregated consumers, a shift towards regenerative energy sources is taking place.
Cornelia Krome, Jan Höft, Volker Sander
doaj   +1 more source

Equivalence partition based morphological similarity clustering for large-scale time series

Scientific Reports, 2023
Data clustering belongs to the category of unsupervised learning and plays an important role in the dynamic systems and big data. The clustering problem of sampled time-series data is undoubtedly much more challenging than that of repeatable sampling ...
Shaolin Hu
doaj   +1 more source

A temporal precedence based clustering method for gene expression microarray data [PDF]

, 2010
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in microarray data analysis where the data is grouped together according to ...
Li Chang-Tsun, Buchanan-Wollaston, Vicky, Chang-Tsun Li, Vicky Buchanan-Wollaston, Krishna, Ritesh V., Ritesh Krishna, Buchanan-Wollaston Vicky, Krishna Ritesh, Li, Chang-Tsun   +8 more
core   +1 more source

Using Permutations for Hierarchical Clustering of Time Series

Entropy, 2019
Two distances based on permutations are considered to measure the similarity of two time series according to their strength of dependency. The distance measures are used together with different linkages to get hierarchical clustering methods of time ...
Jose S. Cánovas, Antonio Guillamón, María Carmen Ruiz-Abellón   +2 more
doaj   +1 more source

A framework for time-series clustering-as-a-aservice. [PDF]

, 2022
LAUREA MAGISTRALEIl clustering di serie temporali ha effettivamente fornito informazioni utili in diversi domini applicativi. C'è un crescente interesse per il raggruppamento di serie temporali come parte dello sforzo nella ricerca di data mining ...
GUADARRAMA RAMIREZ, URIEL
core