MF Calculator: A Web-Based Application for Analyzing Similarity

Detalhes bibliográficos
Autor(a) principal: Sales, Celia M. D.
Data de Publicação: 2015
Outros Autores: Wakker, Peter P., Alves, Paula C. G., Faisca, Luis
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/11698
Resumo: This paper presents the metric-frequency calculator (MF Calculator), an online application to analyze similarity. The MF Calculator implements a metric-frequency similarity algorithm for the quantitative assessment of similarity in ill-structured data sets. It is widely applicable as it can be used with nominal, ordinal, or interval data when there is little prior control over the variables to be observed regarding number or content. The MF Calculator generates a proximity matrix in CSV, XML or DOC format that can be used as input to traditional statistical techniques such as hierarchical clustering, additive trees, or multidimensional scaling. The MF Calculator also displays a graphical representation of outputs using additive similarity trees. A simulated example illustrates the implementation of the MF calculator. An additional example with real data is presented, in order to illustrate the potential of combining the MF Calculator with cluster analysis. The MF Calculator is a user-friendly tool available free of charge. It can be accessed from http : //mfcalculator.celiasales.org/Calculator.aspx, and it can be used by non-experts from a wide range of social sciences.
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spelling MF Calculator: A Web-Based Application for Analyzing SimilarityEfficient methodTherapyThis paper presents the metric-frequency calculator (MF Calculator), an online application to analyze similarity. The MF Calculator implements a metric-frequency similarity algorithm for the quantitative assessment of similarity in ill-structured data sets. It is widely applicable as it can be used with nominal, ordinal, or interval data when there is little prior control over the variables to be observed regarding number or content. The MF Calculator generates a proximity matrix in CSV, XML or DOC format that can be used as input to traditional statistical techniques such as hierarchical clustering, additive trees, or multidimensional scaling. The MF Calculator also displays a graphical representation of outputs using additive similarity trees. A simulated example illustrates the implementation of the MF calculator. An additional example with real data is presented, in order to illustrate the potential of combining the MF Calculator with cluster analysis. The MF Calculator is a user-friendly tool available free of charge. It can be accessed from http : //mfcalculator.celiasales.org/Calculator.aspx, and it can be used by non-experts from a wide range of social sciences.Journal Statistical SoftwareSapientiaSales, Celia M. D.Wakker, Peter P.Alves, Paula C. G.Faisca, Luis2018-12-07T14:53:48Z2015-052015-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/11698eng1548-7660info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:23:32Zoai:sapientia.ualg.pt:10400.1/11698Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:03:09.983257Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv MF Calculator: A Web-Based Application for Analyzing Similarity
title MF Calculator: A Web-Based Application for Analyzing Similarity
spellingShingle MF Calculator: A Web-Based Application for Analyzing Similarity
Sales, Celia M. D.
Efficient method
Therapy
title_short MF Calculator: A Web-Based Application for Analyzing Similarity
title_full MF Calculator: A Web-Based Application for Analyzing Similarity
title_fullStr MF Calculator: A Web-Based Application for Analyzing Similarity
title_full_unstemmed MF Calculator: A Web-Based Application for Analyzing Similarity
title_sort MF Calculator: A Web-Based Application for Analyzing Similarity
author Sales, Celia M. D.
author_facet Sales, Celia M. D.
Wakker, Peter P.
Alves, Paula C. G.
Faisca, Luis
author_role author
author2 Wakker, Peter P.
Alves, Paula C. G.
Faisca, Luis
author2_role author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Sales, Celia M. D.
Wakker, Peter P.
Alves, Paula C. G.
Faisca, Luis
dc.subject.por.fl_str_mv Efficient method
Therapy
topic Efficient method
Therapy
description This paper presents the metric-frequency calculator (MF Calculator), an online application to analyze similarity. The MF Calculator implements a metric-frequency similarity algorithm for the quantitative assessment of similarity in ill-structured data sets. It is widely applicable as it can be used with nominal, ordinal, or interval data when there is little prior control over the variables to be observed regarding number or content. The MF Calculator generates a proximity matrix in CSV, XML or DOC format that can be used as input to traditional statistical techniques such as hierarchical clustering, additive trees, or multidimensional scaling. The MF Calculator also displays a graphical representation of outputs using additive similarity trees. A simulated example illustrates the implementation of the MF calculator. An additional example with real data is presented, in order to illustrate the potential of combining the MF Calculator with cluster analysis. The MF Calculator is a user-friendly tool available free of charge. It can be accessed from http : //mfcalculator.celiasales.org/Calculator.aspx, and it can be used by non-experts from a wide range of social sciences.
publishDate 2015
dc.date.none.fl_str_mv 2015-05
2015-05-01T00:00:00Z
2018-12-07T14:53:48Z
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publisher.none.fl_str_mv Journal Statistical Software
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