# Show Reference: "Improved PLSOM algorithm"

Improved PLSOM algorithm Applied Intelligence In Applied Intelligence, Vol. 32, No. 1. (2010), pp. 122-130, doi:10.1007/s10489-008-0138-7 by Erik Berglund
@article{berglund-2010,
abstract = {The original {Parameter-Less} {Self-Organising} Map ({PLSOM}) algorithm was introduced as a solution to the problems the {Self-Organising} Map ({SOM}) encounters when dealing with certain types of mapping tasks. Unfortunately the {PLSOM} suffers from over-sensitivity to outliers and over-reliance on the initial weight distribution. The {PLSOM2} algorithm is introduced to address these problems with the {PLSOM}. {PLSOM2} is able to cope well with outliers without exhibiting the problems associated with the standard {PLSOM} algorithm. The {PLSOM2} requires very little computational overhead compared to the standard {PLSOM}, thanks to an efficient method of approximating the diameter of the inputs, and does not rely on a priori knowledge of the training input space. This paper provides a discussion of the reasoning behind the {PLSOM2} and experimental results showing its effectiveness for mapping tasks.},
author = {Berglund, Erik},
booktitle = {Applied Intelligence},
citeulike-article-id = {3646834},
doi = {10.1007/s10489-008-0138-7},
journal = {Applied Intelligence},
keywords = {ann, learning, parameters, plsom, som, unsupervised-learning},
number = {1},
pages = {122--130},
posted-at = {2014-12-19 14:46:30},
priority = {2},
publisher = {Springer US},
title = {Improved {PLSOM} algorithm},
url = {http://dx.doi.org/10.1007/s10489-008-0138-7},
volume = {32},
year = {2010}
}