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ClusteringAdvancedK-meansPCAStandardScaler

EXP10: K-means Clustering + PCA

Clusters Wisconsin breast cancer data and visualizes in PCA space.

Key highlights

  • Standardizes features
  • Clusters into 2 groups
  • Reports accuracy after label alignment

Metrics

Confusion matrixAccuracy

Dataset

Wisconsin Breast Cancer

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Outputs

K-means clustering plot
Clusters visualized in PCA space

Full Python Code

The complete Python script directly from the repository.

Python
kmeans = KMeans(n_clusters=2, random_state=42, n_init=10)
y_kmeans = kmeans.predict(X_scaled)
print(confusion_matrix(y, y_kmeans))

Next steps

Want to explore further? Try the full gallery or open the raw script to tweak parameters.

Back to galleryOpen code on GitHub