A Novel Spectral Clustering and its Application in Image Processing
This paper proposes an improved spectral clustering algorithm based on neighbour adaptive scale, who fully considers the local structure of dataset using neighbour adaptive scale, which simplifies the selection of parameters and makes the improved algorithm insensitive to both density and outliers...
Main Authors: | Gu Ruijun, Chen Shenglei, Wang Jiacai |
---|---|
Format: | Article |
Language: | English |
Published: |
Eastern Macedonia and Thrace Institute of Technology
2013-01-01
|
Series: | Journal of Engineering Science and Technology Review |
Subjects: | |
Online Access: | http://www.jestr.org/downloads/Volume6Issue3/fulltext3632013.pdf |
Similar Items
-
Spectral Clustering Algorithm Based on Fast Search of Natural Neighbors
by: Mengshi Yuan, et al.
Published: (2020-01-01) -
Unsupervised TOF Image Segmentation through Spectral Clustering and Region Merging
by: Luciano Lorenti, et al.
Published: (2018-10-01) -
Segmentation of cDNA Microarray Images using Parallel Spectral Clustering
by: Sandrine MOUYSSET, et al.
Published: (2013-05-01) -
Segmentation of cDNA Microarray Images using Parallel Spectral Clustering
by: Daniel RUIZ, et al.
Published: (2013-05-01) -
Invariant representation for spectral reflectance images and its application
by: Ibrahim Abdelhameed, et al.
Published: (2011-01-01)