SAS Tutorial | K-means Clustering Algorithm скачать в хорошем качестве

SAS Tutorial | K-means Clustering Algorithm

In this SAS How To Tutorial, Cat Truxillo explores using the k-means clustering algorithm. In SAS, there are lots of ways that you can perform k-means clustering. You can write a program in PROC FASTCLUS, PROC KCLUS, PROC CAS, python, or R; Point and click in Visual Statistics, Enterprise Guide, Enterprise Miner, JMP, Model Studio, and SAS Studio. You can profile your clusters with graphs, save cluster scores to data sets, and much more. In this video, Cat will demonstrate k-means clustering two ways; using SAS Visual Statistics and using SAS Studio. Download Data Files Bank data can be found in the free trial of SAS Visual Data Mining and Machine Learning – https://www.sas.com/en_us/trials.html Check out Cat's Iris data set on GitHub – https://github.com/sascommunities/sas... Chapters 0:00 – What is k-means clustering and How does k-means clustering work 2:55 – How to do k-means clustering in SAS Visual Statistics 9:39 – How to do k-means clustering in SAS University Edition or SAS Studio Learn more about SAS Software ◉ Building a Clustering Model in SAS Visual Statistics 8.2 on SAS Viya – https://video.sas.com/detail/video/56... ◉ K-means Clustering in SAS | Comparing PROC FASTCLUS and PROC HPCLUS –https://communities.sas.com/t5/SAS-Co... ◉ Ask the Expert: Cluster Analysis: Introduction to Best Practices – https://www.sas.com/en_us/webinars/at... SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS https://www.youtube.com/SASUsers?sub_... ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ►   / sassoftware   Twitter ►   / sassoftware   LinkedIn ►   / sas   Blogs ► https://blogs.sas.com RSS ► https://www.sas.com/rss