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. pp. 78. Cazzanti, L. and R.M. Gupta. 2007. Local similarity discriminant analysis. Proceedings of the 24th International Conference on Machine Learning, ICML. Corvallis, Oregon. pp. 137
Abstract
Hirsch’s concept of h-index was used to define a similarity measure for journals. The h-similarity is easy to calculate from the publicly available data of the Journal Citation Reports, and allows for plausible interpretation. On the basis of h-similarity, a relative eminence indicator of journals was determined: the ratio of the JCR impact factor to the weighted average of that of similar journals. This standardization allows journals from disciplines with lower average citation level (mathematics, engineering, etc.) to get into the top lists.
method for character weighting a similarity coefficient, employing the concept of information. J. Int. Ass. Math. Geol. 2:25-38. On a method for character weighting a similarity coefficient, employing the concept of information
structural diversity by Burnaby’s similarity index. Plant Ecol. 138:77–87. Ganis P. Analysis of vegetation structural diversity by Burnaby’s similarity index
similar, and the objects from different groups are dissimilar. This defines an equivalence relation. The similarity is usually based on the distance of the objects. However, sometimes only categorical data are given where distance is meaningless. For
)—where variance in names is substantially lower—reinforce the need for an automated approach to author disambiguation. There is a need for algorithms designed to extract patterns of similarity from different variables, patterns that can set one
industries require more technologies for individual products (Carree et al. 2000 ). Thus, an automated method is necessary to support experts. In fact, various factors such as patentability, technological similarity, and scope of claims should be
. Compositional similarity and ß (beta) diversity . In A.E. Magurran and B.J. McGill (eds), Biological Diversity. Frontiers in Measurement and Assessment . Oxford University Press , Oxford . pp. 66 – 84
Introduction In several scientific areas—like ecology, information retrieval, machine learning, psychology and scientometrics—the measurement of similarity between objects plays a role. In scientometrics, examples of considered
science, technology and society. The field of ecology has a long tradition of studies related to diversity. Consequently, there exists an extensive literature on measures of diversity within populations/communities and dissimilarity or similarity
