Object Oriented Modeling in Cluster Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F02%3A00000046" target="_blank" >RIV/61988987:17310/02:00000046 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Object Oriented Modeling in Cluster Analysis

Popis výsledku v původním jazyce

This paper deals with object oriented modeling in cluster analysis based on the Mjolner BETA System and the BETA object oriented language. The model is designed in layers, which enables more flexibility and clear understanding. Object oriented modeling enables to create a model that is more natural and is easy to extend or change its functionality. These features predetermine such a model for making experiments. Cluster analysis has many methods and techniques for helping to solve classification probl ems. Object oriented model enables to exploit them in a more complex way and thus receive interesting results. We use this model on medical data for making a diagnosis. With the benefit we used rich means for composition, virtual mechanism and persisten ce of the Mjolner BETA System. Persistence allows to split the whole application into rather simple parts and to store the results for the next usage.

Název v anglickém jazyce

Object Oriented Modeling in Cluster Analysis

Popis výsledku anglicky

This paper deals with object oriented modeling in cluster analysis based on the Mjolner BETA System and the BETA object oriented language. The model is designed in layers, which enables more flexibility and clear understanding. Object oriented modeling enables to create a model that is more natural and is easy to extend or change its functionality. These features predetermine such a model for making experiments. Cluster analysis has many methods and techniques for helping to solve classification probl ems. Object oriented model enables to exploit them in a more complex way and thus receive interesting results. We use this model on medical data for making a diagnosis. With the benefit we used rich means for composition, virtual mechanism and persisten ce of the Mjolner BETA System. Persistence allows to split the whole application into rather simple parts and to store the results for the next usage.

Druh

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

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2002

Kód důvěrnosti údajů

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

Název periodika

Proceedings of 28th ASU Conference. The Simulation Languages

ISSN

1102-593X

e-ISSN

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Svazek periodika

Neuveden

Číslo periodika v rámci svazku

Říjen

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

71-78

Kód UT WoS článku

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EID výsledku v databázi Scopus

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