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Hempel's Raven paradox: a positive approach to cluster analysis

Hempel's Raven paradox: a positive approach to cluster analysis,10.1016/S0305-0548(99)00049-0,Computers & Operations Research,Roy Gelbard,Israel Spieg

Hempel's Raven paradox: a positive approach to cluster analysis   (Citations: 6)
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A practical conclusion of the Hampel Raven paradox suggests a logical preference for using positive predicates in formulating scientific hypotheses. This led us to outline a new cluster analysis and grouping technique. We define a positive attribute distance (PAD) index that uses a binary representation of the existence or absence of an attribute value in a given object being observed. The resulting binary string representing an entity is then used to calculate distance to other strings using only the ‘1’ bits. This measure, with a matching grouping technique, simplifies clustering and grouping and yields equivalent or better results, as well as more efficient and compact calculations.
Journal: Computers & Operations Research - CoR , vol. 27, no. 4, pp. 305-320, 2000
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