DocumentCode
3708123
Title
T-clustering: Image clustering by tensor decomposition
Author
Amara Tariq;Hassan Foroosh
Author_Institution
The Computational Imaging Lab., Computer Science, University of Central Florida, Orlando, FL, USA
fYear
2015
Firstpage
4803
Lastpage
4807
Abstract
Image clustering is an important tool for organizing evergrowing image repositories for efficient search and retrieval. A variety of clustering algorithms have been employed to cluster images. In this paper, we present a clustering algorithm, named T-Clustering, especially tailored to suit image collections. T-Clustering is based on tensor decomposition and takes into account the spatial configuration of images. This algorithm is non-parametric and works very well with raw images, thus alleviating the need for transformation of images in any feature domain. Our experiments prove that this algorithm outperforms well-known non-parametric clustering algorithms for a variety of image collections.
Keywords
"Tensile stress","Clustering algorithms","Matrix decomposition","Image databases","Visualization","Yttrium","Manifolds"
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/ICIP.2015.7351719
Filename
7351719
Link To Document