The Hybrid Model of Data Clustering Based on the K-Means Algorithm and the Inductive Modeling Method

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F16%3A43887656" target="_blank" >RIV/44555601:13440/16:43887656 - 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

The Hybrid Model of Data Clustering Based on the K-Means Algorithm and the Inductive Modeling Method

Original language description

The inductive model of objects objective clustering based on the k-means algorithm clustering is presented in the paper. The algorithm for division of initial data to two equal power subsets is proposed and practically implemented. The difference between mass centers of appropriate clusters in different clustering is proposed for use as external balance criterion. Approbation of the proposed model operation was carried out using data &quot;Compound&quot; and &quot;Aggregation&quot; of database School of Computing of University of Eastern Finland.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

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

Article name in the collection

ISDMCI?2016 Conference proceedings

ISBN

978-617-7273-36-2

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

238-242

Publisher name

Kherson National Technical University

Place of publication

Kherson

Event location

Zaliznyj Port

Event date

May 24, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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