November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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254
Chapitre 9. Techniques d’apprentissage non supervisé
• "diag" : les clusters peuvent avoir une forme ellipsoïdale de n’importe quelle
taille, mais les axes de l’ellipsoïde doivent être parallèles aux axes de coordonnées
(c’est-à-dire que les matrices de covariance doivent être diagonales).
• "tied" (liés) : tous les clusters doivent avoir la même forme ellipsoïdale, être
de même taille et de même orientation (c’est-à-dire que tous les clusters ont la
même matrice de covariance).
Par défaut, covariance_type a la valeur "full", ce qui signie que chaque
cluster peut être de forme, de taille et d’orientation quelconque (ce qui signie qu’il
possède ...
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