On the efficiency and sensitivity of a pyramidal classification algorithm

Autor:	Gil, Àngel J., Capdevila, Carles, Arcas, Antoni
Přispěvatelé:	Universitat Pompeu Fabra. Departament d'Economia i Empresa
Jazyk:	angličtina
Rok vydání:	1998
Předmět:	Operations Management aggregation index monte carlo evaluation robinsonian dissimilarity overlapping clusters pyramidal classification methods pseudo-hierarchy
Zdroj:	Repositorio Digital de la UPF Universitat Pompeu Fabra Recercat. Dipósit de la Recerca de Catalunya instname
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5f47fba5e38154ea319a9057ba7d3f64 http://hdl.handle.net/10230/715 Zobrazit plný text záznamu