Implement k-Means Clustering

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Implement k-Means Clustering

Implement k-Means using the TensorFlow k-Means API. The TensorFlow API lets you scale k-means to large datasets by providing the following functionality:

  • Clustering using mini-batches instead of the full dataset.
  • Choosing more optimal initial clusters using k-means++, which results in faster convergence.

The TensorFlow k-Means API lets you choose either Euclidean distance or cosine distance as your similarity measure.