Measures of similarity and dissimilarityCalve, LeGordon, A. D., ‖2 Measures of similarity and dissimilarity‖, Classification. 2nd ed. Chapman &H all, pp.15-34, 1999.
The basis of many measures of similarity and dissimilarity is euclidean distance. The distance between vectors X and Y is defined as follows: In other words, euclidean distance is the square root of the sum of squared differences between corresponding elements of the two vectors. Note that the ...
In addition to the existing similarity and dissimilarity measures, 3 new similarity measures and 1 new dissimilarity measure are introduced. The performances of 16 similarity measures and 10 dissimilarity measures in image matching are determined and compared, and their sensitivities to noise and ...
In addition to the existing similarity and dissimilarity measures, 3 new similarity measures and 1 new dissimilarity measure are introduced. The performances of 16 similarity measures and 10 dissimilarity measures in image matching are determined and compared, and their sensitivities to noise and ...
Similarity or dissimilarity coefficient is used to measure the groupability of clusters in group technology. This paper addresses the issues relating to the performance of a number of most commonly used similarity coefficients along with their important characteristics, appropriateness and applications to ...
Then, we propose an extension of those analyses towards a quantitative evaluation of a degree of similarity. We use some known measures of similarity and dissimilarity for binary patterns (strings) exemplified by the one based on the Hamming distance and that due to Jaccard-Needham. The use of...
Similarity and Distance Measures for Cellular Manufacturing Part I: A SurveyAn overview of similarity and dissimilarity measures applicable to cellular manufacturing is presented. First is an overview of general measures of association. Next, similarity and distance measures for determining part families ...
awe can define an N*N symmetric matrix, called proximity matrix, whose (i,j)th element represents the similarity or dissimilarity measure for the ith and jth patterns(i,j=1,...N) . 我们可以定义N*N对称矩阵,称接近度矩阵, (i, j) th元素代表相似性或不同性质措施为ith和jth仿造(i, j=1...
It can be used in a variety of ways, including classification, image processing, clustering, data mining, pattern recognition, and medical diagnosis. Chen (1995) defined the similarity and dissimilarity measurements for IFSs. Later, many scholars worked to develop similarity measures for IFSs. The...
6 presented technique of order preference similarity to the ideal solution (TOPSIS) in a PFS environment for solving decision ranking problems. Garg7 propound weighted aggregation operators for PFS. Khan et al.8 improved the existing VIKOR method by defining a novel dissimilarity measure for PFS. ...