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Schluter, D. 1986. Tests for similarity and convergence of finch communities. Ecology 67: 1073-1085. Tests for similarity and convergence of finch communities Ecology

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animal-headed fibulae and more than 20 pieces of glass paste beads ( Fig. 2 ). Moreover, the basic characteristics of the burial rite to the extent they were documented show unquestionable similarities, e.g. this burial was also an inhumation. 13

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. Discussion Pyromania is currently categorized as an ICD in DSM-5 based on phenomenological similarities between these conditions (in this case, rising tension before the act of fire-setting, followed by relief or pleasure after fire-setting or watching

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, Bologna , Italy. Fertő , I. – Pollmann , O. – Podruzsik , Sz. ( 2013 ): Cultural Similarity, Communication Costs and Wine Trade in the European Union. 7th AAWE Conference 26–29 June 2013. Stellenbosch, South Africa

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Scheffer, M. and E.H.V. Nes. 2006. Self-organized similarity, the evolutionary emergence of groups of similar species. Proc. Nat. Acad. Sci. USA 103: 6230–6235. Nes E.H.V. Self

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highly similar and objects in different clusters are highly dissimilar. This ultimately increases intraclass similarity but decreases interclass similarity. Clustering is a technique of unsupervised learning that does not have the need of prior knowledge

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light. For each individual isolate, the presence or absence of each band was determined and designated 1 if present or 0 if absent to obtain binary banding data. Similarity matrices from binary banding data of each of the five primer

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McQuitty, L.L. 1967. Expansion of similarity analysis by reciprocal pairs for discrete and continuous data. Educational and Psychological Measurement 27: 253–255. McQuitty L

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121 226 Dubois, D. and H. Prade. 1994. Similarity-based approximate reasoning. In: Zurada J.M., R. J. Marks and C. J. Robinson (eds.), Computational Intelligence Imitating Life

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Abstract  

A method of measuring the communication in a network of research institutions i presented. The method is based on the determination of the subject similarity of research reports. The requests of the users are taken into account. The hierarchic cluster analysis of communication in the network is fulfilled on the base of the fuzzy binary relations of similarity between objects.

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