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* <math>y^t D 1 = 0 </math>
Minimizing <math>\frac{y^t (D - W) y}{y^t D y}</math> subject to the constraints above is [[NP-hard]]. To make the problem tractable, we relax the constraints on <math>y</math>, and allow it to take real values. The relaxed problem can be solved by solving the generalized eigenvalue problem <math>(D - W)y = \lambda D y</math>for the second smallest generalized
'''The partitioning algorithm:'''
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