Introduction to Clustering Using R

Students will be introduced to the basics of clustering using R. They will learn the basics of distance matrices and linkage methods, transforming data, creating cluster objects, and the construction, manipulation, and interpretation of dendrograms. They will also learn how to compute cluster p-values via multiscale bootstrap resampling from the 'pvclust' package. 

Prior knowledge:

R for Data Science Days 1-3 or equivalent experience