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Donnerstag, 11. September 2025: Die Deutsche Nationalbibliothek öffnet wegen eines Beschäftigtentreffens an beiden Standorten erst um 15 Uhr. // Thursday, 11 September 2025: The German National Library will not open until 15:00 due to a staff meeting at both locations.

Ergebnis der Suche nach: tit all "Time-Series Data Clustering."
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	21	Ensemble clustering and feature weighting in time series data Enthalten in The journal of supercomputing Bd. 79, 28.4.2023, Nr. 15, date:10.2023: 16442-16478
	22	Fractal dimension based geographical clustering of COVID-19 time series data Enthalten in Scientific reports Bd. 13, 15.3.2023, Nr. 1, date:12.2023: 1-10
	23	Functional clustering of time series gene expression data by Granger causality Enthalten in BMC systems biology Bd. 6, 30.10.2012, Nr. 1, date:12.2012: 1-12
	24	Generating prediction clustering graph network analysis data from masked time series with GANs Enthalten in Neural computing & applications Bd. 37, 28.2.2025, Nr. 14, date:5.2025: 8699-8729
	25	GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series Enthalten in Journal of Big Data Bd. 12, 5.2.2025, Nr. 1, date:12.2025: 1-37
	26	Hierarchical Time Series Forecasting of COVID-19 Cases Using County-Level Clustering Data Enthalten in Operations research forum Bd. 6, 20.2.2025, Nr. 1, date:3.2025: 1-28
	27	Model-based cell clustering and population tracking for time-series flow cytometry data Enthalten in BMC bioinformatics Bd. 20, 27.12.2019, Nr. 23, date:12.2019: 1-10
	28	Quantification and clustering of phenotypic screening data using time-series analysis for chemotherapy of schistosomiasis Enthalten in BMC genomics Bd. 13, 17.1.2012, Nr. 1, date:12.2012: 1-24
	29	Time Series Prediction on Settlement of Metro Tunnels Adjacent to Deep Foundation Pit by Clustering Monitoring Data Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 27, 4.4.2023, Nr. 5, date:5.2023: 2180-2190
	30	Trend analysis using agglomerative hierarchical clustering approach for time series big data Enthalten in The journal of supercomputing Bd. 77, 2.1.2021, Nr. 7, date:7.2021: 6505-6524

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