Exploiting Clustering for Making Diagnosis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F02%3A00000023" target="_blank" >RIV/61988987:17310/02:00000023 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Exploiting Clustering for Making Diagnosis

Original language description

Results achieved by combination of the hierarchical and partitional clustering are described in this paper. Proper design and object-oriented approach bring new possibilities of the various combinations of the strategies in numerical clustering. In our progress hierarchical clustering is used for production of the hypothetical classification structure. In the following new clusters are compared with this structure using partitional clustering. Numerical results gained by this process may be used for making a diagnosis. Actual state of the hierarchical clustering is stored and retrieved by using persistent store and persistent objects. Described approach was tested on medical data. The whole application is developed using the Mjolner BETA System a nd the BETA language for its rich facilities of the conceptual modeling.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2002

Confidentiality

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

Article name in the collection

MENDEL '2002

ISBN

80-214-2135-5

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

244-248

Publisher name

University of Technology Brno

Place of publication

Brno

Event location

Brno

Event date

Jun 5, 2002

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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