Authors: Amelio, Lucio
Janković, Radmila 
Amelio, Alessia
Title: A new dissimilarity measure for clustering with application to dermoscopic images
Journal: 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018
Conference: 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018; Technological Educational Institute of Ionian Islands Zakynthos; Greece; 23 July 2018 through 25 July 2018
Issue Date: 1-Feb-2019
ISBN: 978-153863731-9
DOI: 10.1109/IISA.2018.8633672
Abstract: 
This paper explores the use of a new dissimilarity measure for clustering image databases with a special focus on dermoscopic images. It considers the area of the largest square sub-matrices approximately matching in the two images for computing their dissimilarity. A variant of the K-medoids approach is proposed using the new dissimilarity measure in the optimisation function. An experiment compa...
Publisher: IEEE
Project: Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education 

Show full item record

SCOPUSTM   
Citations

5
checked on Apr 3, 2025

Page view(s)

20
checked on Jan 31, 2025

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.