choshin84 / learning_memo

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Outlier detection by DBSCAN/OPTICS #42

Open choshin84 opened 4 years ago

choshin84 commented 4 years ago

Tweet summary

One of clustering algorithms, it doesnt require to set # of clusters and can identify outlier as well

Useful link

http://data-analysis-stats.jp/2019/09/13/dbscan%E3%82%AF%E3%83%A9%E3%82%B9%E3%82%BF%E3%83%BC%E3%81%AE%E8%A7%A3%E8%AA%AC%E3%81%A8%E5%AE%9F%E9%A8%93/

choshin84 commented 4 years ago

OPTICS-OF https://towardsdatascience.com/clustering-using-optics-cac1d10ed7a7

choshin84 commented 4 years ago

LOF https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html

choshin84 commented 4 years ago

https://www.kdnuggets.com/2020/02/understanding-density-based-clustering.html