Implementation of Self Organizing Map using MATLAB

Authors

  • Satyajit S. Uparkar Department of Computer Applications, RCOEM, Nagpur
  • Pravin Y. Karmore Department of Computer Applications, RCOEM, Nagpur
  • Apurva A. Barmase TCCS, Nagpur
  • Trupti A. Ganorkar Ramanora Global Pvt Ltd. , Pune

Keywords:

MATLAB, SOM, training set, topological relationship

Abstract

The latest versions of MATLAB are embedded with analytical tools to handle the Big Data issues. Self
Organization Map (SOM) is a vector quantification method which places the prototypes vectors on a regular low
dimensional grid in an ordered fashion. This makes SOM a powerful visualization tool for understanding a big data
set very easily. To apply this technique the given data set is cleaned first for removing the outliers. A network is
created to understand the topological relationship within the training set. This paper focuses on procedure, analysis
and interpretation of a sample dataset using MATLAB tool.

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Published

2017-03-25

How to Cite

Satyajit S. Uparkar, Pravin Y. Karmore, Apurva A. Barmase, & Trupti A. Ganorkar. (2017). Implementation of Self Organizing Map using MATLAB. International Journal of Advance Research in Engineering, Science & Technology, 4(3), 395–398. Retrieved from https://ijarest.org/index.php/ijarest/article/view/955

Issue

Vol. 4 No. 3 (2017): Volume: 04, Issue: 03 - March, 2017.

Section

Articles