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1 - 10 von 33

	1	Scalable Labeling of Big Time-Series Data Based on Ensembles of Clustering Models and Weak Supervision Berlin : Prior Art Publishing GmbH, 2024, Date:2024-12-12; File(MD5):93B67F0C732C83FD05FA7B69AB573181
	2	Trend triplet based data clustering for eliminating nonlinear trend components of wind time series to improve the performance of statistical forecasting models Enthalten in Multimedia tools and applications 21.4.2022: 1-27
	3	Coastal change patterns from time series clustering of permanent laser scan data Enthalten in Earth surface dynamics Bd. 9, 2021, Nr. 1: 89-103
	4	Coastal Change Patterns from Time Series Clustering of Permanent Laser Scan Data Enthalten in Earth surface dynamics discussions 2020: 1-29
	5	A fragmented-periodogram approach for clustering big data time series Enthalten in Advances in data analysis and classification 14.6.2019: 1-30
	6	Time series clustering based on sparse subspace clustering algorithm and its application to daily box-office data analysis Enthalten in Neural computing & applications 21.9.2018: 1-10
	7	Time series distance measures Spiegel, Stephan. - Berlin : Technische Universität Berlin, 2015
	8	Clustering Time Series with Clipped Data Enthalten in Machine learning Bd. 58, Nr. 2-3, date:2.2005: 151-178
	9	Model-Based clustering for cross-sectional time series data Enthalten in Journal of agricultural, biological, and environmental statistics Bd. 7, Nr. 1, date:3.2002: 107-127
	10	A clustering algorithm for detecting differential deviations in the multivariate time-series IoT data based on sensor relationship Enthalten in Knowledge and information systems Bd. 67, 17.12.2024, Nr. 3, date:3.2025: 2641-2690