QUT ePrints

Graphics Hardware Implementation of the Parameter-Less Self Organising Map

Campbell, Alexander B., Berglund, Erik, & Streit, Alexander (2005) Graphics Hardware Implementation of the Parameter-Less Self Organising Map. In Gallagher, Marcus, Hogan, James, & Maire, Frederic (Eds.) Intelligent Data Engineering and Automated Learning - IDEAL 2005: 6th International Conference, 6-8 July 2005, Australia, Queensland, Brisbane.

View at publisher

Abstract

This paper presents a highly parallel implementation of a new type of Self-Organising Map (SOM) using graphics hardware. The Parameter-Less SOM smoothly adapts to new data while preserving the mapping formed by previous data. It is therefore in principle highly suited for interactive use, however for large data sets the computational requirements are prohibitive. This paper will present an implementation on commodity graphics hardware which uses two forms of parallelism to signi¯cantly reduce this barrier. The performance is analysed experi- mentally and algorithmically. An advantage to using graphics hardware is that visualisation is essentially free", thus increasing its suitability for interactive exploration of large data sets.

Impact and interest:

5 citations in Scopus
Search Google Scholar™
4 citations in Web of Science®

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

209 since deposited on 12 Dec 2005
46 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 2844
Item Type: Conference Paper
Keywords: GPGPU, self, organising map, graphics hardware, algorithmic complexity, PLSOM
DOI: 10.1007/11508069_45
ISBN: 9783540269724
ISSN: 1611-3349
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTATION THEORY AND MATHEMATICS (080200) > Analysis of Algorithms and Complexity (080201)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Graphics (080103)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2005 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science
Deposited On: 12 Dec 2005
Last Modified: 03 Mar 2011 15:41

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page