Prototype selection based on sequential search
In this paper, we propose and explore the use of the sequential search for solving the prototype selection problem since this kind of search has shown good performance for solving selection problems. We propose three prototype selection methods based on sequential search. The main goal of our method...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2009 |
| País: | México |
| Institución: | Instituto Nacional de Astrofísica, Óptica y Electrónica |
| Repositorio: | Repositorio Institucional del INAOE |
| Idioma: | inglés |
| OAI Identifier: | oai:inaoe.repositorioinstitucional.mx:1009/1184 |
| Acceso en línea: | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1184 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/Prototype selection/Prototype selection info:eu-repo/classification/Quality training set/Quality training set info:eu-repo/classification/Supervised classification/Supervised classification info:eu-repo/classification/Sequential search/Sequential search info:eu-repo/classification/cti/1 info:eu-repo/classification/cti/12 info:eu-repo/classification/cti/1203 |
| Sumario: | In this paper, we propose and explore the use of the sequential search for solving the prototype selection problem since this kind of search has shown good performance for solving selection problems. We propose three prototype selection methods based on sequential search. The main goal of our methods is to reduce the training data without losing too much classification accuracy. Experiments and results are reported showing the effectiveness of the proposed methods and comparing their performance against other prototype selection methods. |
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