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He fits and transforms Kmeans on the output of TfIdfVectorizer and not tSNE. tSNE is only used for 2D visualisation.

kmeans = kmeans_model.fit(vz)

kmeans_clusters = kmeans.predict(vz)

You're right. In that case, I would worry about the high dimensionality of that array. Does MiniBatchKMeans do some internal dimensionality reduction?

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