dc.creator | ANDRES EDUARDO GUTIERREZ RODRÍGUEZ | |
dc.date | 2015-11-23 | |
dc.date.accessioned | 2023-07-25T16:20:44Z | |
dc.date.available | 2023-07-25T16:20:44Z | |
dc.identifier | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/29 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7805252 | |
dc.description | In clustering, providing an explanation of the results is an important task.
Pattern-based clustering algorithms provide, in addition to the list of objects
belonging to each cluster, an explanation of the results in terms of a set of
patterns that describe the objects grouped in each cluster. It makes these
algorithms very attractive from the practical point of view; however, patternbased
clustering algorithms commonly have a high computational cost in the
clustering stage. Moreover, the most recent algorithms proposed within this
approach, extract patterns from numerical datasets by applying an a priori
discretization process, which may cause information loss. In this thesis, we
propose new algorithms for extracting only a subset of patterns useful for
clustering, from a collection of diverse unsupervised decision trees induced
from a dataset. Additionally, we propose a new clustering algorithm based
on these patterns. | |
dc.format | application/pdf | |
dc.language | eng | |
dc.publisher | Instituto Nacional de Astrofísica, Óptica y Electrónica | |
dc.relation | citation:Gutierrez-Rodriguez A. E. | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
dc.subject | info:eu-repo/classification/Reconcimiento de patrones/Patter mining | |
dc.subject | info:eu-repo/classification/Agrupación de patrones/Pattern-based clustering | |
dc.subject | info:eu-repo/classification/Agrupación/Clustering | |
dc.subject | info:eu-repo/classification/Datos mixtos/Mixed Datasets | |
dc.subject | info:eu-repo/classification/cti/1 | |
dc.subject | info:eu-repo/classification/cti/12 | |
dc.subject | info:eu-repo/classification/cti/1203 | |
dc.subject | info:eu-repo/classification/cti/330405 | |
dc.subject | info:eu-repo/classification/cti/330405 | |
dc.title | Pattern-based clustering using unsupervised decision trees | |
dc.type | info:eu-repo/semantics/doctoralThesis | |
dc.audience | generalPublic | |