T-Clustering: Image Clustering By Tensor Decomposition

Keywords

Image Clustering; Non-parametric Clustering Algorithm; Tensor Decomposition

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.

Publication Date

12-9-2015

Publication Title

Proceedings - International Conference on Image Processing, ICIP

Volume

2015-December

Number of Pages

4803-4807

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICIP.2015.7351719

Socpus ID

84956692436 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84956692436

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