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What does the linkage function in scipy.cluster.hierarchy do in hierarchical clustering?

easy📝 Conceptual Q11 of 15
SciPy - Clustering and Distance
What does the linkage function in scipy.cluster.hierarchy do in hierarchical clustering?
AIt calculates distances between clusters step-by-step to form a hierarchy.
BIt assigns data points to fixed clusters before clustering.
CIt visualizes the final clusters using a scatter plot.
DIt normalizes the data before clustering.
Step-by-Step Solution
Solution:
  1. Step 1: Understand hierarchical clustering process

    Hierarchical clustering builds clusters step-by-step by merging closest groups.
  2. Step 2: Role of linkage function

    The linkage function calculates distances between clusters at each step to decide which to merge next.
  3. Final Answer:

    It calculates distances between clusters step-by-step to form a hierarchy. -> Option A
  4. Quick Check:

    Linkage = stepwise cluster distance calculation [OK]
Quick Trick: Linkage = stepwise cluster distance calculation [OK]
Common Mistakes:
  • Thinking linkage assigns fixed clusters first
  • Confusing linkage with visualization functions
  • Assuming linkage normalizes data

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