0. 참고
https://knanote.tistory.com/26
1. scikit-learn
https://scikit-learn.org/stable/modules/density.html#
2.8. Density Estimation — scikit-learn 0.24.2 documentation
2.8. Density Estimation Density estimation walks the line between unsupervised learning, feature engineering, and data modeling. Some of the most popular and useful density estimation techniques are mixture models such as Gaussian Mixtures (GaussianMixture
scikit-learn.org
2. 함수만들기 참고
how does 2d kernel density estimation in python (sklearn) work?
I am sorry for the probably stupid question but I am trying now for hours to estimate a density from a set of 2d data. Let's assume my data is given by the array: sample = np.random.uniform(0,1,siz...
stackoverflow.com
3. 기타
https://mglerner.github.io/posts/histograms-and-kernel-density-estimation-kde-2.html?p=28
Histograms and kernel density estimation KDE 2
You can download this whole post as a Jupyter notebook here Why histograms¶As we all know, Histograms are an extremely common way to make sense of discrete data. Whether we mean to or not, whe
mglerner.github.io
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