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On the efficiency and sensitivity of a pyramidal classification algorithm

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dc.contributor.author Gil, Àngel J.
dc.contributor.author Capdevila, Carles
dc.contributor.author Arcas, Antoni
dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
dc.date.accessioned 2017-07-26T10:50:09Z
dc.date.available 2017-07-26T10:50:09Z
dc.date.issued 1998-03-01
dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=270
dc.identifier.uri http://hdl.handle.net/10230/715
dc.description.abstract In this paper we propose a Pyramidal Classification Algorithm, which together with an appropriate aggregation index produces an indexed pseudo-hierarchy (in the strict sense) without inversions nor crossings. The computer implementation of the algorithm makes it possible to carry out some simulation tests by Monte Carlo methods in order to study the efficiency and sensitivity of the pyramidal methods of the Maximum, Minimum and UPGMA. The results shown in this paper may help to choose between the three classification methods proposed, in order to obtain the classification that best fits the original structure of the population, provided we have an a priori information concerning this structure.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries Economics and Business Working Papers Series; 270
dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.title On the efficiency and sensitivity of a pyramidal classification algorithm
dc.type info:eu-repo/semantics/workingPaper
dc.date.modified 2017-07-23T02:03:28Z
dc.subject.keyword pyramidal classification methods
dc.subject.keyword aggregation index
dc.subject.keyword pseudo-hierarchy
dc.subject.keyword robinsonian dissimilarity
dc.subject.keyword monte carlo evaluation
dc.subject.keyword overlapping clusters
dc.subject.keyword Operations Management
dc.rights.accessRights info:eu-repo/semantics/openAccess

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