November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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9.1 Partitionnement
239
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Il est important de normaliser les variables d’entrée avant d’exécuter l’algo-
rithme des k-moyennes, car sinon les partitions peuvent être très étirées et
les résultats mauvais. Normaliser les variables ne garantit pas que tous les
clusters soient joliment sphériques, mais cela améliore en général les choses.
Voyons maintenant quelques façons de tirer prot du partitionnement. Nous
allons utiliser les k-moyennes, mais n’hésitez pas à expérimenter d’autres algorithmes
de partitionnement.
9.1.3 Utilisation du partitionnement pour la segmentation d’image
La segmentation ...
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