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APPROXIMATE SPECTRAL CLUSTERING ENSEMBLE METHODS FOR CLUSTERING OF LARGE DATA SETS

2015

YASER MOAZZEN

İsa Yıldırım Thesis Post Graduate Continuing

Comparative Study of Hyperspectral Imagery Classification with SVM and Ensemble Machine Learning Methods

6th Intercontinental Geoinformation Days (IGD), Bakü/AZERBAYCAN, 13 Haziran 2023

ATİK ŞAZİYE ÖZGE

Şaziye Özge Atik Full Text Proceedings Paper ENSEMBLE METHODSMACHINE LEARNINGHYPER-SPECTRAL

Approximate spectral clustering ensemble methods for clustering of large data sets

Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2016

YASER MOAZZEN

İsa Yıldırım Thesis Post Graduate Completed

Statistical Downscaling of Monthly Reservoir Inflows for Kemer Watershed in Turkey: Use of Machine Learning Methods, Multiple Gcms and Emission Scenarios

International Journal of Climatology, Vol. 35, No. 11, Eylül 2015, s. 3274-3295, ISSN: 1097-0088

OKKAN UMUT,İNAN GÜL

Gül İnan Article monthly reservoir inflows in Kemer watershedmonthly inflows; climate change; predictor selection; statistical downscaling; general circulation models; NCEP/NCAR reanalysis data; multi-model ensemble; bias correction

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