GRAPH VISUALISATION BY CONCURRENT DIFFERENTIAL EVOLUTION

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F15%3A86096581" target="_blank" >RIV/61989100:27740/15:86096581 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.14311/NNW.2015.25.019" target="_blank" >http://dx.doi.org/10.14311/NNW.2015.25.019</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/NNW.2015.25.019" target="_blank" >10.14311/NNW.2015.25.019</a>

Jazyk výsledku

angličtina

Název v původním jazyce

GRAPH VISUALISATION BY CONCURRENT DIFFERENTIAL EVOLUTION

Popis výsledku v původním jazyce

A representative dimensionality reduction is an important step in the analysis of real-world data. Vast amounts of raw data are generated by cyber-physical and information systems in different domains. They often feature A combination of high dimensionality, large volume, and vague, loosely defined structure. The main goal of visual data analysis is an intuitive, comprehensible, efficient, and graphically appealing representation of information and knowledge that can be found in such collections. In order to achieve an efficient visualisation, raw data need to be transformed into a refined form suitable for machine and human analysis. Various methods of dimension reduction and projection to low-dimensional spaces are used to accomplish this task. Sammon's projection is a well-known non-linear projection algorithm valued for its ability to preserve dependencies from an original high-dimensional data space in the low-dimensional projection space. Recently, it has been shown that bio-insp

Název v anglickém jazyce

GRAPH VISUALISATION BY CONCURRENT DIFFERENTIAL EVOLUTION

Popis výsledku anglicky

A representative dimensionality reduction is an important step in the analysis of real-world data. Vast amounts of raw data are generated by cyber-physical and information systems in different domains. They often feature A combination of high dimensionality, large volume, and vague, loosely defined structure. The main goal of visual data analysis is an intuitive, comprehensible, efficient, and graphically appealing representation of information and knowledge that can be found in such collections. In order to achieve an efficient visualisation, raw data need to be transformed into a refined form suitable for machine and human analysis. Various methods of dimension reduction and projection to low-dimensional spaces are used to accomplish this task. Sammon's projection is a well-known non-linear projection algorithm valued for its ability to preserve dependencies from an original high-dimensional data space in the low-dimensional projection space. Recently, it has been shown that bio-insp

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Neural Network World

ISSN

1210-0552

e-ISSN

—

Svazek periodika

25

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

369-386

Kód UT WoS článku

000361503300002

EID výsledku v databázi Scopus

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