- Category:
- Data Mining
- Tags:
-
- File Size:
- 11.06mb
- Update:
- 2020-10-28
- Downloads:
- 0 Times
- Uploaded by:
- 曲小刀
Description: Based on python, it uses principal component analysis (PCA) and K nearest neighbor algorithm (KNN) to classify on the MNIST handwritten data set.
After PCA dimensionality reduction, the final KNN achieved a classification accuracy of over 97% in a 100-dimensional feature space.
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File list (Check if you may need any files):
Filename | Size | Date |
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pca.py | 2057 | 2020-10-17
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t10k-images-idx3-ubyte.gz | 1648877 | 2018-10-10
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t10k-labels-idx1-ubyte.gz | 4542 | 2018-10-10
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train-images-idx3-ubyte.gz | 9912422 | 2018-10-10
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train-labels-idx1-ubyte.gz | 28881 | 2018-10-10 |