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Reseach Article

Kohonen's Self-Organizing Feature Maps and Linear Vector Quantization: A Comparison

by Kiran Bhowmick, Mansi Shah
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 6
Year of Publication: 2015
Authors: Kiran Bhowmick, Mansi Shah
10.5120/21707-4823

Kiran Bhowmick, Mansi Shah . Kohonen's Self-Organizing Feature Maps and Linear Vector Quantization: A Comparison. International Journal of Computer Applications. 122, 6 ( July 2015), 33-35. DOI=10.5120/21707-4823

@article{ 10.5120/21707-4823,
author = { Kiran Bhowmick, Mansi Shah },
title = { Kohonen's Self-Organizing Feature Maps and Linear Vector Quantization: A Comparison },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 6 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number6/21707-4823/ },
doi = { 10.5120/21707-4823 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:09:53.914134+05:30
%A Kiran Bhowmick
%A Mansi Shah
%T Kohonen's Self-Organizing Feature Maps and Linear Vector Quantization: A Comparison
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 6
%P 33-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Machine learning has evolved over the past years to become one of the major research fields in Computer Science. In simple words, Machine Learning can be described as the process of training a machine to learn from its outputs and improvise itself in order to optimize its outputs. One of the major branch of machine learning is Unsupervised Learning where in the machine is not given any kind of feedback but is expected to learn on its own ("without Supervision"). This paper aims at describing in detail and thus comparing two such neural networks: Kohonen's Self Organizing Feature Maps (KSOFM) and Linear Vector Quantization (LVQ).

References
  1. Principles of Soft Computing, Wiley, S. N. Sivanandan & S. N. Deepa.
Index Terms

Computer Science
Information Sciences

Keywords

KSOFM LVQ Machine Learning Unsupervised Learning Pattern Recognition Comparison