You have a dataset with 6 samples and want to perform hierarchical clustering using the 'ward' method. After computing linkage, how do you extract cluster labels for 2 clusters?

hard📝 Application Q8 of 15

SciPy - Clustering and Distance

AUse <code>fcluster(Z, 2, criterion='maxclust')</code> where Z is linkage output

BUse <code>linkage(Z, t=2)</code> to get labels

CUse <code>fcluster(Z, 2, criterion='distance')</code>

DUse <code>linkage(X, method='ward', clusters=2)</code>

Step-by-Step Solution

Solution:

Step 1: Understand linkage vs clustering labels
linkage returns cluster merges; labels require fcluster function.
Step 2: Use fcluster with maxclust criterion
fcluster(Z, 2, criterion='maxclust') extracts 2 clusters labels.
Final Answer:
Use fcluster(Z, 2, criterion='maxclust') where Z is linkage output -> Option A
Quick Check:
fcluster with maxclust extracts cluster labels [OK]

Quick Trick: Use fcluster with maxclust to get cluster labels [OK]

Common Mistakes:

Trying to get labels directly from linkage
Using wrong criterion in fcluster
Passing clusters parameter to linkage

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You have a dataset with 6 samples and want to perform hierarchical clustering using the 'ward' method. After computing linkage, how do you extract cluster labels for 2 clusters?

Step 1: Understand linkage vs clustering labels

Step 2: Use fcluster with maxclust criterion

Final Answer:

Quick Check:

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