Results 11 to 20 of about 227,005 (260)

Lag penalized weighted correlation for time series clustering [PDF]

BMC Bioinformatics, 2020
Background The similarity or distance measure used for clustering can generate intuitive and interpretable clusters when it is tailored to the unique characteristics of the data.
Thevaa Chandereng, Anthony Gitter
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Institution Publication Feature Analysis Based on Time-Series Clustering [PDF]

Entropy, 2022
Based on the time series of articles obtained from the literature, we propose three analysis methods to deeply examine the characteristics of these articles.
Weibin Lin, Mengwen Jin, Feng Ou, Zhengwei Wang, Xiaoji Wan, Hailin Li   +5 more
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A Review of Subsequence Time Series Clustering [PDF]

The Scientific World Journal, 2014
Clustering of subsequence time series remains an open issue in time series clustering. Subsequence time series clustering is used in different fields, such as e-commerce, outlier detection, speech recognition, biological systems, DNA recognition, and ...
Seyedjamal Zolhavarieh, Saeed Aghabozorgi, Ying Wah Teh   +2 more
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Active and Dynamic Approaches for Clustering Time Dependent Information: Lag Target Time Series Clustering and Multi-Factor Time Series Clustering

Journal of Statistical Theory and Applications (JSTA), 2018
One of data mining schemes in statistics is clustering panel data such as longitudinal data and time series data. Classical approaches to cluster such time dependent information do not properly count time dependencies among objects we are interested to ...
Doo Young Kim, Chris P. Tsokos
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Clustering Time Series with Clipped Data [PDF]

Machine Learning, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bagnall, Anthony J., Janacek, Gareth J.
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Deep Convolutional Clustering-Based Time Series Anomaly Detection

Sensors, 2021
This paper presents a novel approach for anomaly detection in industrial processes. The system solely relies on unlabeled data and employs a 1D-convolutional neural network-based deep autoencoder architecture.
Gavneet Singh Chadha, Intekhab Islam, Andreas Schwung, Steven X. Ding   +3 more
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Time Series Clustering and Classification [PDF]

, 2019
Questo libro contiene informazioni ottenute da fonti autentiche e apprezzate. Sono stati compiuti sforzi ragionevoli per pubblicare dati e informazioni affidabili, ma l'autore e l'editore non possono assumersi la responsabilità della validità di tutti i materiali o delle conseguenze del loro utilizzo.
E. A. Maharaj, Pierpaolo d'Urso, J. Cajado   +2 more
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Exploring Dynamic Structures in Matrix-Valued Time Series via Principal Component Analysis

Axioms, 2023
Time-series data are widespread and have inspired numerous research works in machine learning and data analysis fields for the classification and clustering of temporal data. While there are several clustering methods for univariate time series and a few
Lynne Billard, Ahlame Douzal-Chouakria, S. Yaser Samadi   +2 more
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On Clustering fMRI Time Series

NeuroImage, 1999
Analysis of fMRI time series is often performed by extracting one or more parameters for the individual voxels. Methods based, e.g., on various statistical tests are then used to yield parameters corresponding to probability of activation or activation strength.
Goutte, C, Toft, P, Rostrup, E, Nielsen, F, Hansen, L K   +4 more
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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
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