dc.creator | Faceli, Katti | |
dc.creator | Sakata, Tiemi C. | |
dc.creator | Carvalho, André Carlos Ponce de Leon Ferreira de | |
dc.creator | Souto, Marcilio C. P. de | |
dc.date.accessioned | 2014-11-10T16:54:56Z | |
dc.date.accessioned | 2018-07-04T16:52:40Z | |
dc.date.available | 2014-11-10T16:54:56Z | |
dc.date.available | 2018-07-04T16:52:40Z | |
dc.date.created | 2014-11-10T16:54:56Z | |
dc.date.issued | 2014-07 | |
dc.identifier | International Joint Conference on Neural Networks, 2014, Beijing. | |
dc.identifier | 9781479914845 | |
dc.identifier | http://www.producao.usp.br/handle/BDPI/46570 | |
dc.identifier | http://dx.doi.org/10.1109/IJCNN.2014.6889672 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1641589 | |
dc.description.abstract | Recent advances in cluster analysis highlight the importance of finding multiple meaningful partitions and point out to the need for approaches to evaluate them. They also suggest that the evaluation should consider knowledge of a domain expert. In this paper, we present a visualization method, called PVis1 (Partition's Visualizer), that allows the integrated visualization of a collection of partitions. PVis allows to compare the content of a set of partitions. The comparison can be done with respect to priori knowledge provided by an expert. PVis can be useful in the discovery of relevant information to the domain experts performing cluster analysis. In order to illustrate our approach, we give an example of how to perform an exploratory analysis of collections of partitions. In order to do so, we use a well-known dataset from the Bioinformatics domain, regarding molecular classification of cancer. | |
dc.language | eng | |
dc.publisher | IEEE Computational Intelligence Society | |
dc.publisher | Chinese Academy of Sciences | |
dc.publisher | National Natural Science Foundation of China | |
dc.publisher | Beijing | |
dc.relation | International Joint Conference on Neural Networks | |
dc.rights | Copyright IEEE | |
dc.rights | restrictedAccess | |
dc.title | PVis - Partitions’ Visualizer: extracting knowledge by visualizing a collection of partitions | |
dc.type | Actas de congresos | |