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minkowski

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This project compares k-NN performance using different distance metrics. Euclidean, Manhattan, and Minkowski achieved 100% accuracy, making them ideal for numerical data. Cosine Similarity performed well (93.33%), while Hamming and Jaccard were ineffective (33.33%).

  • Updated Feb 5, 2025
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