VIPA-I-XPI-F-T 1 - IHESzinovyev/vida/ViDaExpert/ViDa... · 2012. 6. 5. · VIPA-I-XPI-F-T 1.0...

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VIDA EXPE RT OVERVIEW VIPA-I-XPI-F-T 1.0 ViDaExpen is a computer program for visualizing mulidimensional datasets. The main purpose of the program is to represent tables of data in visual and understandable fonn. The basic mathematical method of the visualization is Method of Elastic Maps that is an advanced analogue of well-known method of Self- Organizing Map s. Beside s, ViDaExpcn implements many other data analysis techniques.

Transcript of VIPA-I-XPI-F-T 1 - IHESzinovyev/vida/ViDaExpert/ViDa... · 2012. 6. 5. · VIPA-I-XPI-F-T 1.0...

Page 1: VIPA-I-XPI-F-T 1 - IHESzinovyev/vida/ViDaExpert/ViDa... · 2012. 6. 5. · VIPA-I-XPI-F-T 1.0 ViDaExpen is a computer program for visualizing mulidimensional datasets. The main purpose

VIDA EXPERT OVERVIEW

VIPA-I-XPI-F-T 1.0 ViDaExpen is a computer program for visualizing

mulidimensional datasets. The main purpose of the program is to represent

tables of data in visual and understandable fonn. The basic mathematical method of the

visualization is Method of Elastic Maps that is an advanced analogue of well-known method of Self­Organizing Maps.

Besides, ViDaExpcn implements many other data analysis techniques.

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VIDA EXPERT OVERVIEW

ViDaExpcn allows to work with datatables stored in popular database fonnats.

ViDaExpcn provides many possibilities to work with a datatable: selecting records, marking records, soning records etc, Fimll1y every reeord of t<::b1c is represented as a point with definite color, size and shape.

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VIDA EXPERT OVERVIEW

When a datatable become a set of points, ViDaExpen can show it in different 3D linear spaces, including spaces spanned by principal components.

You can rotate, shift and zoom 3D image of point distribution, understanding what docs it look like.

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VIDA EXPERT OVERVIEW

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Thc next step is ' IOII -/illeur visualization. For this purpose VtOaExpcn constructs 20 non-lincar screen in multidimcnsional spacc - elustic map. It is a smooth manifold along what thc darapoints arc situatcd most closely. It also can be called "approximation oflhe 20 principal manifold".

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VIDA EXPERT OVERVIEW

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Then datapoints can be projected onto the manifold and shown in intemal2D coordinates of the manifold .

It gIves visual 2D representation of the distribution of data points in multidimensional space.

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VIDA EXPERT OVERVIEW

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To make the picture more infonnative, you can apply colorings, showing values of any function In

muldidirnensional space. For example, values of dataspace coordinates.

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VIDA EXPERT OVERVIEW

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Much more sophisticated functions also can be

displayed. For example, values of density estimation.

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VIDA EXPERT OVERVIEW

Another cxamplc: visualizing results of applying lincar discrimination analysis ...

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VIDA EXPERT OVERVIEW

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VIDA EXPERT OVERVIEW

The coloring by values of coordinates can be made relief to evaluate how close the map approximates distribution of datapoints by this coordinate.

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VIDA EXPERT OVERVIEW

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Or you can study the fonn and position of colorcU map in the original dataspace.

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VlDAEXPERT OVERVIEW

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One of the unique features of ViOaExpen is the possibility of creating maps with different topology, for example, spherical maps.

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VIDA EXPERT OVERVIEW

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Practice shows that it can be uscful1 In practical applications.

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VIDA EXPERT OVERVIEW

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You can even try 3D dimensional clastic maps.

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VIDA EXPERT OVERVIEW

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There are many other things you could do with your datapoints using Vi DaExpcrt: annotating, changing sizes according 10 ditlcrent criteria, clustering in different ways (for example, heirarehieal clustering).

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VIDA EXPERT OVERVIEW

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But the main principle is to gi ve you visual representation of every step you do.

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VIDAExrERT OVERVIEW

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As a bonus, there are some unique thechniques of data analysis implemented in Vi DaExpert, such as Linear Separation Machine for automatic extraction of desicion rules ..

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VIDA EXPERT OVERVIEW

3 e."tvnbe< -- ... or analyzing di stance diagramms.

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ViPp.,'J,x?ert 1.0 - data visual ization software.

Conditions of distribution: free for non-commercial use.

Created by Zinovyev Andrey [email protected],

Pitenko Alexander [email protected].