Curso Completo de Machine Learning - K-Means, K-means++ e Escolha do K (Prática em Python) - Machine Learning 21.2

Meu Twitter: http://twitter.com/1iversoDiscreto Blog do Canal: https://universodiscreto.com Grupo no Telegram pros inscritos do canal: https://t.me/joinchat/FT23REfCj9SWm0wZ1TE28w Repositório do projeto apresentado no vídeo: https://github.com/lucaslattari/MachineLearningSeries/tree/master/Ep%2021 Código da inicialização pelo K-Means++: https://colab.research.google.com/drive/1yxwVJeDcI0pwivIb2MQeOEzEGOlKn3eP?authuser=1#scrollTo=9VlKG1lNZit5 Quantização de cores com o K-Means: https://www.youtube.com/watch?v=iHlve4t5z-0 Links usados como referência para esse vídeo: https://www.youtube.com/watch?v=4b5d3muPQmA https://en.wikipedia.org/wiki/K-means_clustering https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html https://towardsdatascience.com/k-means-clustering-with-scikit-learn-6b47a369a83c https://towardsdatascience.com/machine-learning-algorithms-part-9-k-means-example-in-python-f2ad05ed5203 https://jakevdp.github.io/PythonDataScienceHandbook/05.11-k-means.html https://medium.com/@paulo_sampaio/entendendo-k-means-agrupando-dados-e-tirando-camisas-e90ae3157c17 https://towardsdatascience.com/understanding-k-means-clustering-in-machine-learning-6a6e67336aa1 https://towardsdatascience.com/k-means-clustering-algorithm-applications-evaluation-methods-and-drawbacks-aa03e644b48a https://pt.wikipedia.org/wiki/Dist%C3%A2ncia_euclidiana https://medium.com/datadriveninvestor/k-means-clustering-6f2dc458cce8