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| def calculate_wcss(data): | |
| wcss = [] | |
| for n in range(2, 21): | |
| kmeans = KMeans(n_clusters=n) | |
| kmeans.fit(X=data) | |
| wcss.append(kmeans.inertia_) | |
| return wcss |
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