@phdthesis{alameddine:tel-04209086,
TITLE = {Partitionnement non supervis{\'e} de donn{\'e}es de grandes dimensions spatiale et spectrale pour l'aide {\`a} la d{\'e}cision},
AUTHOR = {Alameddine, Jihan},
URL = {https://theses.hal.science/tel-04209086},
NUMBER = {2022REN1S114},
SCHOOL = {Universit{\'e} de Rennes},
YEAR = {2022},
MONTH = Nov, KEYWORDS = {Unsupervised partitioning ; Large-Size data ; Hyperspectral images ; Decision making ; Validation ; Autonomous selection of learning samples ; Partitionnement non supervis{\'e} ; Donn{\'e}es de grande taille ; Images hyperspectrales ; Aide {\`a} la d{\'e}cision ; Validation ; S{\'e}lection autonome d'{\'e}chantillons d'apprentissage},
TYPE = {Theses},
PDF = {https://theses.hal.science/tel-04209086/file/ALAMEDDINE_Jihan.pdf},
HAL_ID = {tel-04209086},
HAL_VERSION = {v1},
}