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Neural Information Processing Systems 

We first consider process samples by logistic regression with cluster centers as categorical variables . Intuitively, non-orthonormal centers correlate with each other, which means there is an overlap among categorical variables and makes it hard to identify the decision boundary that leads to a failed classification.

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