Results 221 to 230 of about 227,005 (260)

Clustering of interval time series

Statistics and Computing, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elizabeth Ann Maharaj, Paulo Teles 0001, Paula Brito   +2 more
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Time series clustering in linear time complexity

Data Mining and Knowledge Discovery, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaosheng Li, Jessica Lin 0001, Liang Zhao 0002   +2 more
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The time series cluster kernel

2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), 2017
This paper presents the time series cluster kernel (TCK) for multivariate time series with missing data. Our approach leverages the missing data handling properties of Gaussian mixture models (GMM) augmented with empirical prior distributions. Further, we exploit an ensemble learning approach to ensure robustness to parameters by combining the ...
Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen   +3 more
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Cluster of Time Series

Journal of Classification, 2000
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Spectral Clustering for Time Series

2005
This paper presents a general framework for time series clustering based on spectral decomposition of the affinity matrix. We use the Gaussian function to construct the affinity matrix and develop a gradient based method for self-tuning the variance of the Gaussian function.
Fei Wang 0001, Changshui Zhang
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Characterization of time series for analyzing of the evolution of time series clusters

Expert Systems with Applications, 2015
We propose a characterization of time series for multivariable temporal databases.For the characterization of time-series we used the level and trend components.The characterization the time-series is adequate for long and short periods of time.Our proposal allows analysis the evolution of the groups and objects.We developed an R-based script for ...
Ana P. Serra, Luis E. Zárate
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Incremental fuzzy clustering of time series

Fuzzy Sets and Systems, 2021
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Ling Wang, Peipei Xu, Qian Ma
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Optimizations in time series clustering and prediction

Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies, 2010
In this paper a combination of time series clustering and prediction is considered. Both clustering and prediction are done by neural networks with supervised and unsupervised learning respectively. Some optimizations of the clustering procedure are proposed for software implementation.
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Time series clustering with ARMA mixtures

Pattern Recognition, 2004
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Xiong, YM, Yeung, Dit Yan
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Clustering of large time series datasets

Intelligent Data Analysis, 2014
Time series clustering is a very effective approach in discovering valuable information in various systems such as finance, embedded bio-sensor and genome. However, focusing on the efficiency and scalability of these algorithms to deal with time series data has come at the expense of losing the usability and effectiveness of clustering. In this paper a
Saeed Reza Aghabozorgi, Ying Wah Teh
openaire   +1 more source