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.
Workshop Offerings
March 2024
Facilitator Bio
Amirreza is a Master’s student in the Electrical and Computer Engineering department of McMaster University with 8 years of experience in different programming languages.
Workshop Files
- kmeans_clustering.Rmd
- Wine.csv
October 2022
Facilitator Bio
Presentation by Shaila Jamal, DASH Support Assistant and PhD Candidate in Earth, Environment, and Society.
This event was run in collaboration with the YWCA’s Uplift Program, which supports women and non-binary people re-skilling to enter the tech industry.
Workshop Files
The files for this workshop are no longer available.