Machine Learning with R: K-Means Clustering
Clustering is an unsupervised machine learning approach for finding subgroups of observations within a data set. This workshop will introduce participants to the theoretical part of the most common clustering method, K-means clustering. Afterwards, participants will gain hands-on experience in how to conduct K-means clustering in R, as well as how to interpret and visualize their results.
Presentation by Shaila Jamal, DASH Support Assistant and PhD Candidate in Earth, Environment, and Society. Book an appointment with Shaila or another member of the DASH Team.
This event is run in collaboration with the YWCA’s Uplift Program, which supports women and non-binary people re-skilling to enter the tech industry.
Preparation for this tutorial consists of two steps: Getting the data and Getting the software. Follow the steps below.
Get the data
Access the RMD and CSV files mentioned in the workshop.
Get the software
This hands-on workshop uses R, a software application for data analysis. The program is free to download.
View the original here.