def __init__(self, n_codewords, normalization=3, inner_batch=128,
dimension_ordering="tf"):
self.n_codewords = n_codewords
self.inner_batch = inner_batch
self.normalization = normalization
self._clusterer = cluster.MiniBatchKMeans(
n_clusters=self.n_codewords,
n_init=1,
compute_labels=False
)
super(self.__class__, self).__init__(dimension_ordering)
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