November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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248
Chapitre 9. Techniques d’apprentissage non supervisé
9.1.7 Autres algorithmes de partitionnement
Scikit-Learn implémente plusieurs autres algorithmes de partitionnement que vous
devriez étudier. Nous ne pouvons pas les décrire en détail ici, mais en voici une brève
présentation :
• Partitionnement agglomératif :
Il consiste à construire une hiérarchie ascendante de clusters. Imaginez de nom-
breuses petites bulles ottant sur l’eau et se regroupant graduellement entre
elles jusqu’à ce qu’il n’y ait plus qu’un gros ensemble de bulles. De manière
analogue, l’algorithme de partitionnement agglomératif connecte à chaque ité-
ration les deux clusters ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.