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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).⇒