| dc.contributor | Rojas Ormaza, Brayan Ricardo | |
| dc.contributor | Pérez Pérez, Lincoln Ernesto [0000-0002-5591-9714] | |
| dc.creator | Perez Perez, Lincoln Ernesto | |
| dc.date.accessioned | 2021-10-11T21:37:18Z | |
| dc.date.accessioned | 2023-06-05T15:03:31Z | |
| dc.date.available | 2021-10-11T21:37:18Z | |
| dc.date.available | 2023-06-05T15:03:31Z | |
| dc.date.created | 2021-10-11T21:37:18Z | |
| dc.date.issued | 2020-07-12 | |
| dc.identifier | http://hdl.handle.net/20.500.12495/6168 | |
| dc.identifier | instname: Universidad El Bosque | |
| dc.identifier | reponame: Repositorio Institucional Universidad El Bosque | |
| dc.identifier | repourl: https://repositorio.unbosque.edu.co | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/6644238 | |
| dc.description.abstract | En este proyecto de graduación se presenta una metodología para segmentar el SARLAFT. Al proponer el algoritmo CLARA para la segmentación y utilizar homals para el tratamiento de datos categóricos, finalmente se ejemplificó la metodología para su uso a nivel práctico, comparándola con las metodologías presentes en las instituciones financieras, especialmente los resultados obtenidos y el tiempo de ejecución. | |
| dc.language | spa | |
| dc.publisher | Estadística | |
| dc.publisher | Universidad El Bosque | |
| dc.publisher | Facultad de Ciencias | |
| dc.relation | McClain, J. O., y Rao, V. R. (1975). Clustisz: A program to test for the quality ofclustering of a set of objects.Journal of Marketing Research, 456–460. | |
| dc.relation | Baker, F. B., y Hubert, L. J. (1975). Measuring the power of hierarchical cluster analysis.Journal of the American Statistical Association,70(349), 31–38 | |
| dc.relation | Hartigan, J. A. (1975).Clustering algorithms. John Wiley & Sons, Inc. | |
| dc.relation | Hubert, L., y Arabie, P. (1985). Comparing partitions.Journal of classification,2(1),193–218 | |
| dc.relation | Dunn, J. C. (1974). Well-separated clusters and optimal fuzzy partitions.Journal ofcybernetics,4(1), 95–104 | |
| dc.relation | Friedman, H. P., y Rubin, J. (1967). On some invariant criteria for grouping data.Journalof the American Statistical Association,62(320), 1159–1178 | |
| dc.relation | Babichev, S., Lytvynenko, V., y Osypenko, V. (2017). Implementation of the objectiveclustering inductive technology based on dbscan clustering algorithm. En201712th international scientific and technical conference on computer sciences andinformation technologies (csit)(Vol. 1, pp. 479–484) | |
| dc.relation | Aljarah, I., Mafarja, M., Heidari, A. A., Faris, H., y Mirjalili, S. (2020). Clustering analysisusing a novel locality-informed grey wolf-inspired clustering approach.Knowledgeand Information Systems,62(2), 507–539. | |
| dc.relation | Krzanowski, W. J., y Lai, Y. (1988). A criterion for determining the number of groupsin a data set using sum-of-squares clustering.Biometrics, 23–34. | |
| dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.rights | Acceso abierto | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.rights | 2020-12-12 | |
| dc.rights | CC0 1.0 Universal | |
| dc.subject | SARLAFT | |
| dc.subject | Segmentación | |
| dc.subject | CLARA | |
| dc.subject | Homals | |
| dc.title | Metodología de segmentación para el SARLAFT | |
