Intelligent Database Systems Lab

Presenter : JHOU, YU-LIANG

Authors : Teuvo Kohonen

2013,NN

Essentials of the self-organizing map

Intelligent Database Systems Lab

Outlines

MotivationObjectivesMethodologyApplicationConclusionsComments

Intelligent Database Systems Lab

Motivation• The self-organizing map (SOM) is an

automatic data-analysis method. It is widely

applied to clustering problems and data

exploration in many areas .

• New, very promising applications exist in

bioinformatics.

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Objectives• The self-organizing map (SOM) principle has been

used extensively as an analytical and visualization

tool in exploratory data analysis .

• Introduce the principle of SOM and operational

processes

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MethodologyThe original, stepwise recursive SOM algorithm

SOM operational process

Find BMU

Result

Initialize

Update

Input data set

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MethodologyThe original, stepwise recursive SOM algorithm

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Application of areas of SOM

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ApplicationSOMs of document collections

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ApplicationHuman endogenous retroviruses

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Conclusions• Perhaps one of the main virtues of the basic SOM

algorithm is that one can compute really large mappings in reasonable time, using only personal computers.

• This author strongly encourages the use of two public-domain software packages developed by the

SOM_PAK Team and the SOM Toolbox Team.

Intelligent Database Systems Lab

Comments

This paper makes me a better understanding of the principle of SOM applications and processes

Applications-Self organizing map