Skip to learning content

DATA SCIENCE PYTHON PLAYGROUND

Machine Learning · Learn / Refresh

← Choose a model deck
TEACHING COLLECTION

Hierarchical clustering

Inspect Ward merges, compare cuts and explain the scope of a sampled hierarchy.

Helpful prior knowledge: Distance depends on scale and context · Choosing k requires evidence and judgement · Describe clusters in meaningful units. These links are guidance, not locks.

Follow teaches the idea; Change asks you to make a choice; Transfer changes the context. Apply, reviews and checkpoints appear where the existing lessons provide them. Go Further lessons are optional.

Lessons in this model deck

Start with the first core lesson →

U07Core · teaching
Hierarchical merging: Small merges, Larger merges, DendrogramSmall mergesLarger mergesDendrogram

Hierarchical merging

Interpret Ward linkage and merge height.

20–30 min · 4 practices
U08Core · teaching
Turn a hierarchy into groups: Cut height, Group count, Describe groupsCut heightGroup countDescribe groups

Turn a hierarchy into groups

Choose a cut using evidence and purpose.

12–18 min · 3 practices
U09Core · teaching
Sampled hierarchies describe sampled rows: Sample rows, Keep row IDs, Interpret sample8 sourcerowssample(n=4)w2, w6,w1, w8Seed 42; original row IDs

Sampled hierarchies describe sampled rows

Keep population, sample and labels aligned.

12–18 min · 3 practices

Browse all Clustering and Discovery lessons, reviews and checkpoints →

Choose an independent workflow challenge →