Shift of pairwise similarities

rajesh kumar

Abstract


In order to provide a more even division, some clustering techniques (such as Normalized Cut and Ratio Cut) split the Min Cut cost function by a cluster dependent variable (such as the size or degree of the clusters). Instead, we look at the possibility of adding these regularizations to the initial cost function. Prior to generalising it to adaptive regularisation of pairwise similarities, we first investigate the situation where the regularisation term is the sum of the squared size of the clusters. This results in the pairwise similarities moving (adaptively), which may turn some of them into a negative.

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