@inproceedings{elouahidi:hal-03131445, TITLE = {{Une approche pour regrouper des sujets atteints de cancers, sur la base des similarit{\'e}s des r{\'e}partitions cellulaires au sein de leurs biopsies}}, AUTHOR = {El Ouahidi, Yassine and Feller, Matis and Talagas, Matthieu and Pasdeloup, Bastien}, URL = {https://imt-atlantique.hal.science/hal-03131445}, NOTE = {Full version in English: https://arxiv.org/abs/2007.00135}, BOOKTITLE = {{EGC 2021 : 21{\`e}me conf{\'e}rence Extraction et Gestion des Connaissances}}, ADDRESS = {Montpellier, France}, PUBLISHER = {{RNTI}}, SERIES = {Revue de nouvelles technologies de l'information}, VOLUME = {RNTI-E-37}, PAGES = {333-340}, YEAR = {2021}, MONTH = Jan, KEYWORDS = {Cancer ; clustering ; histogrammes ; analyse de survie ; distance de Wasserstein}, PDF = {https://imt-atlantique.hal.science/hal-03131445/file/paper.pdf}, HAL_ID = {hal-03131445}, HAL_VERSION = {v1}, }