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"Stochastic competitive learning behaves as a form of adaptive quantization", because the centroids being adapted distribute themselves in the data space such that they minimize the quantization error (according to the distance metric being used).

My algorithms minimize the expected error since they take into account the probability of data points (via noise properties).