A k-dissimilarity D on a finite set X, |X| ≥ k, is a map from the set of size k subsets of X to the real numbers. Such … (<CitationRef CitationID="CR19">2004</CitationRef>) recently posed the following question: Given an arbitrary k-dissimilarity, how … ≥ 3 a k-dissimilarity on a set X arises from a tree if and only if its restriction to every 2 k-element subset of X arises …

dissimilarity indexes to determine when chaining is appropriate. This study provides the first empirical application of … dissimilarity indexes in this context. We find that dissimilarity indexes do not appear to be sufficient to resolve the issue of …

evaluate four dissimilarity measures: the Euclidean Distance, the Hamming Distance, the Heterogeneous Euclidean-Overlap Metric …Many content-based recommendation approaches are based on a dissimilarity measure based on the product attributes. In … this paper, we evaluate four dissimilarity measures for product recommendation using an online survey. In this survey, we …

income. Our aim is to assess the dissimilarity between the patterns of distributions of the different groups. These … discrimination. We conceptualize the notion of dissimilarity making use of reasonable transformations of the groups' distributions … substantial differences underlying the concept of dissimilarity when applied to ordered or to permutable classes. In both settings …

determine the similarity and dissimilarity level between them. Moreover, the article purposes to examine the comment letters of …

any of the attainable outcomes. Otherwise, a form of dissimilarity prevails. We frame dissimilarity comparisons of sets of …, agreement between dissimilarity indicators and new empirical tests based on Zonotopes and Path Polytopes inclusion. Multi …-group comparisons of segregation, discrimination and mobility, as well as inequality evaluations, are embedded within the dissimilarity …