This study uses a similarity-based elastography method to reconstruct elastic modulus values in a simulation of cancerous tumors in the breast. Four similarity metrics were compar...
Michael I. Miga, Megan Rothney, Chad W. Washington
We address the problem of similarity metric selection in pairwise affinity clustering. Traditional techniques employ standard algebraic context-independent sample-distance measur...
In this paper pivoting M-tree (PM-tree) is introduced, a metric access method combining M-tree with the pivot-based approach. While in M-tree a metric region is represented by a hy...
The design of a CBR system involves the use of similarity metrics. For many applications, various functions can be adopted to compare case features and to aggregate them into a glo...
: A novel support vector machine method for classification is presented in this paper. A modified kernel function based on the similarity metric and Riemannian metric is applied ...