From 00e61f244f5823f23447a51edb2bc43ba3e6888a Mon Sep 17 00:00:00 2001 From: Mary Llewellyn Date: Thu, 28 Mar 2024 15:31:40 +0000 Subject: [PATCH] add understand to objective, episode 7 in line with challenges --- _episodes_rmd/07-hierarchical.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) 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