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Results tagged with k-means
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user 80397
k-means is a method to partition data into clusters by finding a specified number of means, k, s.t. when data are assigned to clusters w/ the nearest mean, the w/i cluster sum of squares is minimized
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kMeans unsupervised feature learning on multiple layers
I'm trying to develop an unsupervised feature learning pipeline.
I have a train set with 512x512 images. I've extracted 16x16 patches, performed preprocessing steps (normalization and whitening). Cl …
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