diff --git a/_episodes_rmd/07-hierarchical.Rmd b/_episodes_rmd/07-hierarchical.Rmd index 16f44d0e..28c3f310 100644 --- a/_episodes_rmd/07-hierarchical.Rmd +++ b/_episodes_rmd/07-hierarchical.Rmd @@ -12,7 +12,7 @@ objectives: - Understand when to use hierarchical clustering on high-dimensional data. - Perform hierarchical clustering on high-dimensional data and evaluate dendrograms. -- Explore different distance matrix and linkage methods. +- Understand and explore different distance matrix and linkage methods. - Use the Dunn index to validate clustering methods. keypoints: - Hierarchical clustering uses an algorithm to group similar data points into