Utilize este identificador para referenciar este registo:
https://hdl.handle.net/10316/109281
Título: | Multiple Manifold Clustering Using Curvature Constrained Path | Autor: | Babaeian, Amir Bayestehtashk, Alireza Bandarabadi, Mojtaba |
Data: | 2015 | Editora: | Public Library of Science | Projeto: | grant from the National Science Foundation (DMS- 09- 15160) | Título da revista, periódico, livro ou evento: | PLoS ONE | Volume: | 10 | Número: | 9 | Resumo: | The problem of multiple surface clustering is a challenging task, particularly when the surfaces intersect. Available methods such as Isomap fail to capture the true shape of the surface near by the intersection and result in incorrect clustering. The Isomap algorithm uses shortest path between points. The main draw back of the shortest path algorithm is due to the lack of curvature constrained where causes to have a path between points on different surfaces. In this paper we tackle this problem by imposing a curvature constraint to the shortest path algorithm used in Isomap. The algorithm chooses several landmark nodes at random and then checks whether there is a curvature constrained path between each landmark node and every other node in the neighborhood graph. We build a binary feature vector for each point where each entry represents the connectivity of that point to a particular landmark. Then the binary feature vectors could be used as a input of conventional clustering algorithm such as hierarchical clustering. We apply our method to simulated and some real datasets and show, it performs comparably to the best methods such as K-manifold and spectral multi-manifold clustering. | URI: | https://hdl.handle.net/10316/109281 | ISSN: | 1932-6203 | DOI: | 10.1371/journal.pone.0137986 | Direitos: | openAccess |
Aparece nas coleções: | FCTUC Eng.Informática - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
Multiple manifold clustering using curvature constrained path.pdf | 3.77 MB | Adobe PDF | Ver/Abrir |
Visualizações de página
67
Visto em 25/set/2024
Downloads
53
Visto em 25/set/2024
Google ScholarTM
Verificar
Altmetric
Altmetric
Este registo está protegido por Licença Creative Commons