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Implement K-Means and Hierarchical Clustering with full preproce…#4

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hawaalewi wants to merge 1 commit intosoftwareWCU:mainfrom
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Implement K-Means and Hierarchical Clustering with full preproce…#4
hawaalewi wants to merge 1 commit intosoftwareWCU:mainfrom
hawaalewi:main

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This pull request implements a complete unsupervised machine learning workflow
using the wine dataset.

Changes included:

  • Data cleaning and column standardization
  • Proper preprocessing with one-hot encoding and feature scaling
  • K-Means clustering with Elbow Method for optimal cluster selection
  • PCA-based visualization of clustering results
  • Hierarchical (Agglomerative) clustering with dendrogram analysis
  • Clear step-by-step structure suitable for Google Colab submission

The implementation follows best practices for clustering and aligns with
course requirements.

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