You have a linkage matrix Z from hierarchical clustering of 12 points. You want to form exactly 4 clusters. Which fcluster call correctly achieves this?

hard📝 Application Q8 of 15

SciPy - Clustering and Distance

You have a linkage matrix Z from hierarchical clustering of 12 points. You want to form exactly 4 clusters. Which fcluster call correctly achieves this?

A<code>fcluster(Z, t=4, criterion='maxclust')</code>

B<code>fcluster(Z, t=4, criterion='distance')</code>

C<code>fcluster(Z, t=3, criterion='maxclust')</code>

D<code>fcluster(Z, t=3, criterion='distance')</code>

Step-by-Step Solution

Solution:

Step 1: Understand 'maxclust' criterion
Using criterion='maxclust' with t set to the desired number of clusters returns exactly that many clusters.
Step 2: Differentiate from 'distance'
Using criterion='distance' cuts the dendrogram at a distance threshold, which may not yield the exact number of clusters.
Step 3: Choose correct call
To get exactly 4 clusters, use fcluster(Z, t=4, criterion='maxclust').
Final Answer:
fcluster(Z, t=4, criterion='maxclust') -> Option A
Quick Check:
maxclust with t=number of clusters [OK]

Quick Trick: Use criterion='maxclust' with t=desired clusters [OK]

Common Mistakes:

Using 'distance' criterion to get exact cluster count
Setting t incorrectly for maxclust
Confusing t parameter meaning

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You have a linkage matrix Z from hierarchical clustering of 12 points. You want to form exactly 4 clusters. Which fcluster call correctly achieves this?

Step 1: Understand 'maxclust' criterion

Step 2: Differentiate from 'distance'

Step 3: Choose correct call

Final Answer:

Quick Check:

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