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Remove "Tips" section from clustering overview document
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tensorflow_model_optimization/g3doc/guide/clustering/index.md

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@@ -90,11 +90,6 @@ In addition to the [Clustering with Keras](clustering_with_keras.ipynb) tutorial
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* Cluster the weights of a CNN model trained on the MNIST handwritten digit classification databaset:
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[code](https://github.com/tensorflow/model-optimization/blob/master/tensorflow_model_optimization/python/examples/clustering/keras/mnist/mnist_cnn.py)
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## Tips
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1. The current clustering API works only with pre-trained models. Don't forget to train your model before attempting to cluster it.
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2. The centroid initialization technique you opt for has a significant impact on the accuracy of the clustered model. Experiments have shown that linear initialization outperforms density-based and random initialization in most cases.
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## References
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The weight clustering implementation is based on the technique described in chapter 3, titled *Trained Quantization and Weight Sharing*, of the conference paper referenced below.

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