1 resultado para classification aided by clustering
em CUNY Academic Works
Filtro por publicador
- Repository Napier (1)
- Academic Archive On-line (Stockholm University; Sweden) (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (10)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (3)
- Archive of European Integration (13)
- Aston University Research Archive (20)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (14)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (58)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (4)
- Biodiversity Heritage Library, United States (42)
- Bioline International (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (22)
- Brock University, Canada (6)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (2)
- CentAUR: Central Archive University of Reading - UK (21)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (2)
- Cochin University of Science & Technology (CUSAT), India (12)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (8)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (69)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (3)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (3)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- Digital Commons - Michigan Tech (6)
- Digital Commons at Florida International University (8)
- DigitalCommons@The Texas Medical Center (5)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (9)
- Duke University (1)
- Fachlicher Dokumentenserver Paedagogik/Erziehungswissenschaften (1)
- Glasgow Theses Service (1)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Institute of Public Health in Ireland, Ireland (1)
- Instituto Politécnico do Porto, Portugal (26)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (6)
- Martin Luther Universitat Halle Wittenberg, Germany (3)
- Massachusetts Institute of Technology (1)
- Memoria Académica - FaHCE, UNLP - Argentina (9)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (5)
- Nottingham eTheses (1)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (7)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (3)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório Aberto da Universidade Aberta de Portugal (1)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (2)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (26)
- Repositório da Produção Científica e Intelectual da Unicamp (14)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (7)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (3)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (71)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (20)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scielo Saúde Pública - SP (62)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (1)
- Universidad de Alicante (3)
- Universidad del Rosario, Colombia (4)
- Universidad Politécnica de Madrid (21)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade do Minho (10)
- Universidade dos Açores - Portugal (4)
- Universidade Federal do Pará (5)
- Universidade Federal do Rio Grande do Norte (UFRN) (14)
- Universidade Metodista de São Paulo (3)
- Universitat de Girona, Spain (3)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (133)
- Université de Montréal (2)
- Université de Montréal, Canada (9)
- University of Michigan (26)
- University of Queensland eSpace - Australia (35)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
This article highlights the potential benefits that the Kohonen method has for the classification of rivers with similar characteristics by determining regional ecological flows using the ELOHA (Ecological Limits of Hydrologic Alteration) methodology. Currently, there are many methodologies for the classification of rivers, however none of them include the characteristics found in Kohonen method such as (i) providing the number of groups that actually underlie the information presented, (ii) used to make variable importance analysis, (iii) which in any case can display two-dimensional classification process, and (iv) that regardless of the parameters used in the model the clustering structure remains. In order to evaluate the potential benefits of the Kohonen method, 174 flow stations distributed along the great river basin “Magdalena-Cauca” (Colombia) were analyzed. 73 variables were obtained for the classification process in each case. Six trials were done using different combinations of variables and the results were validated against reference classification obtained by Ingfocol in 2010, whose results were also framed using ELOHA guidelines. In the process of validation it was found that two of the tested models reproduced a level higher than 80% of the reference classification with the first trial, meaning that more than 80% of the flow stations analyzed in both models formed invariant groups of streams.