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K-means clustering of media using CNN embeddings and generated topics

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image-clustering

Clusters media (photos, videos, music) in a provided Dropbox folder:

  • In an unsupervised setting, k-means uses CNN embeddings as representations and with topic modeling, labels the clustered folders intelligently.
  • In the semi-supervised setting, new photos can be clustered to be added to existing folders, or be classified in their own clusters.

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K-means clustering of media using CNN embeddings and generated topics

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