#Python скачать в хорошем качестве

#Python

RJ Studio’s 129th video is about conducting Hierarchical Clustering, using SciPy. ◕ ◡ ◕ I download US crime dataset recorded in 1973. The dataset contains crime rate for each State. Then I perform Hierarchical Clustering and draw dendrograms to divide 50 States into 3 clusters. Overall, 3 clusters showed the following characteristic: cluster 1 - high crime rate cluster 2 - mediocre crime rate cluster 3 - low crime rate In addition, I briefly explain the importance of linkage and demonstrate how much the shape of dendrogram depends on the type of linkage used. 🚀 ☆ Video Chapters ☆ 0:00 Intro 0:42 US Arrests Dataset 1:40 Linkage 2:24 Single Linkage Dendrogram 3:47 Ward Linkage Dendrogram 4:28 Cluster Labeling 5:50 Outro Please check my GitHub for code: https://github.com/rjlee13/RJStudio_GH Python logo in the thumbnail is from https://www.python.org/community/logos/ Scipy logo in the thumbnail is from https://commons.wikimedia.org/wiki/Fi... For background music, I chose 3 good songs by J.Fla. ^‿^ Hope my video taught you something new! And feel free to correct me if I made some mistakes in the comments :) 이번에는 파이썬 싸이파이를 사용해서 계층적 군집화에 대해 정리하며 덴드로그램을 만들어보았습니다. ≧◡≦ 또 사용하는 연결법에 따라 덴드로그램이 어떻게 변화하는지도 살펴보았습니다. 유익한 정보이길 바랄게요~ 감사합니다. “In teaching others, we teach ourselves.” LinkedIn:   / rj-lee   Instagram:   / musicalum_rj   Music YouTube:    / @musicalum