AI & MACHINE LEARNING PROGRAM • LEVEL 13 — CLUSTERING
Calculate a Silhouette Value with Python
Learn calculate a silhouette value with python with a short, executable Python example.
PROBLEM UNDERSTANDING
Input and expected output
No input required
0.667
COMPLETE PYTHON PROGRAM
Complete Python implementation
within_distance, nearest_cluster_distance = 2, 6 score = (nearest_cluster_distance-within_distance)/max(within_distance,nearest_cluster_distance) print(round(score,3))
CURRENT STEP
Select Start to walk through the important lines.
SELECTED LINE
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EXPECTED OUTPUT FOR THE SAMPLE
0.667
PROGRAM EXPLANATION
Algorithm and explanation
- Initialize the sample values used to calculate a silhouette value.
- Apply Silhouette score and Cluster quality to compute the required result.
- Display the result for calculate a silhouette value and compare it with the documented sample output.
This example of calculate a silhouette value computes the result directly from the prepared sample data. It demonstrates Silhouette score and Cluster quality and prints a deterministic result that can be checked against the sample output.
EFFICIENCY
Time and space complexity
O(n²)
O(1)
DEBUGGING CHECKLIST
Common mistakes
For calculate a silhouette value, keep the data shape and value types consistent with Silhouette score.
Apply Silhouette score in the same order shown by the algorithm; changing the order can change the result.
Check denominators, numeric ranges and rounding before comparing the calculated value.