We present a novel spectral clustering method that enables users to incorporate prior knowledge of the size of clusters into the clustering process. The cost function, which is named size regularized cut (SRcut), is defined as the sum of the inter-cluster similarity and a regularization term measuring the relative size of two clusters. Finding a partition of the data set to minimize SRcut is pr...

a model capable of predicting the minimum content of aflatoxin m1 (afm1) in iranian while brine cheese has been developed using a chemometric approach to determine the optimum processing conditions. renneting temperature, cut size, stirring time, press time, curd size and saturated brine ph were all regarded as process variables. three-dimensional response surface and contour plots were drawn. ...

In this note, the cut C is referred as the cut-set and the size of the cut |C| as the size of the cut-set. For a graph, a maximum cut is a cut whose size is at least the size of any other cut. The problem of finding a maximum cut in a graph is known as the maximum cut problem. The problem is NP-hard. Simple 0.5approximation algorithms existed long time ago, but no improvement was made till 1990...

conclusions based on 8.2 mm cut-off point could differentiate 83% periapical granulomas and 79% radicular cysts from radiography images. background the distinction between radicular cysts and apical granulomas is important in treatment decision. objectives the current study aimed to differentiate these two lesions based on radiography images. results average size of radiography in periapical gr...