IEEE Trans Neural Netw. 2006 Mar;17(2):305-16.

The parameterless self-organizing map algorithm.

Source

Division of Complex and Intelligent Systems, Information Technology and Electrical Engineering, University of Queensland, St. Lucia, QLD 4072, Australia. berglund@itee.uq.edu.au

Abstract

The parameterless self-organizing map (PLSOM) is a new neural network algorithm based on the self-organizing map (SOM). It eliminates the need for a learning rate and annealing schemes for learning rate and neighborhood size. We discuss the relative performance of the PLSOM and the SOM and demonstrate some tasks in which the SOM fails but the PLSOM performs satisfactory. Finally we discuss some example applications of the PLSOM and present a proof of ordering under certain limited conditions.

PMID:: 16566460; [PubMed - indexed for MEDLINE]

Publication Types, MeSH Terms

Publication Types

Evaluation Studies

MeSH Terms

LinkOut - more resources

Full Text Sources

Other Literature Sources

Supplemental Content

Icon for IEEE Engineering in Medicine and Biology Society

Save items

Related citations in PubMed

Generalizing self-organizing map for categorical data. [IEEE Trans Neural Netw. 2006]
Generalizing self-organizing map for categorical data.
Hsu CC. IEEE Trans Neural Netw. 2006 Mar; 17(2):294-304.
O(log2 M) self-organizing map algorithm without learning of neighborhood vectors. [IEEE Trans Neural Netw. 2006]
O(log2 M) self-organizing map algorithm without learning of neighborhood vectors.
Kusumoto H, Takefuji Y. IEEE Trans Neural Netw. 2006 Nov; 17(6):1656-61.
New adaptive color quantization method based on self-organizing maps. [IEEE Trans Neural Netw. 2005]
New adaptive color quantization method based on self-organizing maps.
Chang CH, Xu P, Xiao R, Srikanthan T. IEEE Trans Neural Netw. 2005 Jan; 16(1):237-49.
Review Survey of clustering algorithms. [IEEE Trans Neural Netw. 2005]
Review Survey of clustering algorithms.
Xu R, Wunsch D 2nd. IEEE Trans Neural Netw. 2005 May; 16(3):645-78.
Review Hints. [Neural Comput. 1995]
Review Hints.
Abu-Mostafa YS. Neural Comput. 1995 Jul; 7(4):639-71.

See reviews... See all...

Cited by 1 PubMed Central article

Data-driven automated acoustic analysis of human infant vocalizations using neural network tools. [J Acoust Soc Am. 2010]
Data-driven automated acoustic analysis of human infant vocalizations using neural network tools.
Warlaumont AS, Oller DK, Buder EH, Dale R, Kozma R. J Acoust Soc Am. 2010 Apr; 127(4):2563-77.

Related information

Related Citations
Calculated set of PubMed citations closely related to the selected article(s) retrieved using a word weight algorithm. Related articles are displayed in ranked order from most to least relevant, with the “linked from” citation displayed first.
Cited in PMC
Full-text articles in the PubMed Central Database that cite the current articles.

Recent activity

Clear Turn Off Turn On

The parameterless self-organizing map algorithm.
The parameterless self-organizing map algorithm.
IEEE Trans Neural Netw. 2006 Mar ;17(2):305-16.

PubMed

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

PubMed

Result Filters

Display Settings:

Send to: