- Data Mining
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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.
(Click to check if it's the file you need, and recomment it at the bottom):
|pca.py|| 2057 || 2020-10-17
|t10k-images-idx3-ubyte.gz|| 1648877 || 2018-10-10
|t10k-labels-idx1-ubyte.gz|| 4542 || 2018-10-10
|train-images-idx3-ubyte.gz|| 9912422 || 2018-10-10
|train-labels-idx1-ubyte.gz|| 28881 || 2018-10-10|