def __init__(self, n_codewords, neighbors=5, beta=1e-4, dimension_ordering="tf"):
self.n_codewords = n_codewords
self.neighbors = neighbors
self.beta = beta
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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