search query: @supervisor Korhonen, Timo / total: 105
reference: 4 / 105
« previous | next »
Author:Vanipenta, Sarala
Title:Application of self organizing maps in understanding cultural factors and change
Publication type:Master's thesis
Publication year:2012
Pages:60 s. + liitt. 13      Language:   eng
Department/School:Tietoliikenne- ja tietoverkkotekniikan laitos
Main subject:Tietoverkkotekniikka   (S-38)
Supervisor:Korhonen, Timo
Instructor:
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions

Reading digital theses in the closed network of the Aalto University Harald Herlin Learning Centre

In the closed network of Learning Centre you can read digital and digitized theses not available in the open network.

The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/

You can read theses on the Learning Centre customer computers, which are available on all floors.

Logging on to the customer computers

  • Aalto University staff members log on to the customer computer using the Aalto username and password.
  • Other customers log on using a shared username and password.

Opening a thesis

  • On the desktop of the customer computers, you will find an icon titled:

    Aalto Thesis Database

  • Click on the icon to search for and open the thesis you are looking for from Aaltodoc database. You can find the thesis file by clicking the link on the OEV or OEVS field.

Reading the thesis

  • You can either print the thesis or read it on the customer computer screen.
  • You cannot save the thesis file on a flash drive or email it.
  • You cannot copy text or images from the file.
  • You cannot edit the file.

Printing the thesis

  • You can print the thesis for your personal study or research use.
  • Aalto University students and staff members may print black-and-white prints on the PrintingPoint devices when using the computer with personal Aalto username and password. Color printing is possible using the printer u90203-psc3, which is located near the customer service. Color printing is subject to a charge to Aalto University students and staff members.
  • Other customers can use the printer u90203-psc3. All printing is subject to a charge to non-University members.
Location:P1 Ark Aalto  2599   | Archive
Keywords:culture
self organizing map
Kohonen algorithm
Abstract (eng): Human society can be viewed as a group of people who share some common or deviating culture.
Societies are composed of cultures and in this work their properties and differences are studied and modelled based on the theories of Cultural Dimensioning.
We will focus on dimensioning principles established by Geert Hofstede, Shalom Schwartz and World Values Survey that are commonly used as a basis for cultural dimensioning studies.

Important feature of our work is to study the Self Organizing Map (SOM) in understanding the relating modelling and data representation challenges.
Efficient visualization of this data requires intelligent reduction of dimensions or recognition of self-similarities within the datasets.
SOM is one of the algorithms that can be used for the analysis and visualization of this high dimensional data resulting classification and clustering of the datasets.

To analyse the cultural data in practice, we apply the "SOM Toolbox" running in Matlab that provides functions for building and analysing the SOMs.
The Hofstede's cultural data is then used as the input and bases for SOM training.
The respective outputs are then illustrated by plots reflecting the mapped cultural dimensions.
In this study we also compare the Hofstede's SOM clusters to Schwartz's and World Values Survey's respective SOM clusters.
As a forthcoming research we may suggest development of a graphical user interface for easier data set selection editing and provision for more flexible and insightful SOM training and analysis.
ED:2012-05-14
INSSI record number: 44494
+ add basket
« previous | next »
INSSI