Due to the limit of width of gauss kernel in fuzzy kernel clustering(KFCM) for infrared segmentation,a new algorithm of KFCM clustering based on changed kernel using type-2 fuzzy is proposed for segmentation.

To improve the generalization performance of support vector machines,the Gaussian kernel with multiple widths is proposed to emphasize the different contributions of features to classification.

Relationship of the Gaussian width of Bose-condensed gas and the intensity of ID-optical lattices potential;

And in our experiments, when the Gaussian widthσis 0.

Gaussian kernel-based dynamic clustering algorithm

The Gaussian kernel mean-shift algorithm which is deduced from kernel density estimation has not been widely employed in applications because of its low convergence rate.

In classification by support vector machines with the Gaussian kernel, the kernel width defines the generalization scale in the pattern space or in the feature space.