Скачать с ютуб How to perform clustering in R with the k-means algorithm - R for Data Science в хорошем качестве

How to perform clustering in R with the k-means algorithm - R for Data Science

This video talks about how to perform clustering with the k-means algorithm in R. k-means is an unsupervised classification technique. With k-means we create groups or clusters such that observations within a same cluster are as similar as possible while observations in different groups are as dissimilar as possible. In the video you can find the most relevant R commands for creating clusters with k-means for a sample dataset. You'll also learn about interpretation of the k-means results and how to create visualizations to explore the data against principal components and against the original variables. Get access to download the scripts and data from GoogleDrive: https://dataninjas.ck.page/yt-files