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Mathematical programming formulations and algorithms for discrete k-median clustering of time-series data

Seref, Onur; Fan, Ya-ju; Chaovalitwongse, Wanpracha - In: INFORMS journal on computing : JOC 26 (2014) 1, pp. 160-172

Persistent link: https://www.econbiz.de/10010344112

Machine learning treasury yields

Kakushadze, Zura; Yu, Willie - In: Bulletin of applied economics 7 (2020) 1, pp. 1-65

Persistent link: https://www.econbiz.de/10012807008

Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Dlugosz, Stephan - 2011

A new algorithm for clustering life course trajectories is presented and tested with large register data. Life courses … clustering result for this kind of data provides interesting subgroups with similar life course trajectories. The high sampling … information. The new algorithm deals with this problem by simultaneously clustering and identifying critical junctures for each of …

Persistent link: https://www.econbiz.de/10010304330

Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Dlugosz, Stephan - Zentrum für Europäische Wirtschaftsforschung (ZEW) - 2011

Persistent link: https://www.econbiz.de/10008869216

Time series forecasting based on a multidimensional Taylor network model with clustering of dynamic characteristics

Yan, Hong-Sen; Zheng, Xiao-Yi; Zhou, Bo; Zhang, Jiao-Jun - In: Journal of the Operational Research Society 73 (2022) 12, pp. 2660-2669

Persistent link: https://www.econbiz.de/10013533308

Improving out-of-sample forecasts of stock price indexes with forecast reconciliation and clustering

Mattera, Raffaele; Athanasopoulos, George; Hyndman, Rob J. - In: Quantitative finance 24 (2024) 11, pp. 1641-1667

Persistent link: https://www.econbiz.de/10015196952

Uncovering spatiotemporal micromobility patterns through the lens of space-time cubes and GIS tools

Arias-Molinares, Daniela; García-Palomares, Juan Carlos; … - In: Journal of geographical systems : geographical … 25 (2023) 3, pp. 403-427

Persistent link: https://www.econbiz.de/10014336668

Formation of seasonal groups and application of seasonal indices

Boylan, John E.; Chen, H.; Mohammadipour, M.; Syntetos, A. - In: Journal of the Operational Research Society : OR 65 (2014) 2, pp. 227-241

Persistent link: https://www.econbiz.de/10010239945

Cash demand forecasting in ATMs by clustering and neural networks

Venkatesh, Kamini; Ravi, Vadlamani; Prinzie, Anita; Van … - In: European journal of operational research : EJOR 232 (2014) 2, pp. 383-392

Persistent link: https://www.econbiz.de/10010224693

Estimating the drift time for processes subject to linear trend disturbance using fuzzy statistical clustering

Kazemi, Mohammad Sadegh; Bazargan, Hamid; Yaghoobi, … - In: International journal of production research 52 (2014) 11, pp. 3317-3330

Persistent link: https://www.econbiz.de/10010355756