Fuzzy Approach to Hierarchical Clustering

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F11%3AA11010HK" target="_blank" >RIV/61988987:17450/11:A11010HK - 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

Fuzzy Approach to Hierarchical Clustering

Original language description

The main aim of the work was to apply some results of fuzzy sets theory and to develop new elements of hierarchical agglomerative clustering alforithms especially focused on manipulating with fuzzy data. The main goal consisted of the following four parts: ? to prepare the fuzzy data for cluster analysis; ? to extend the definition of object dissimilarity for the case of fuzzy objects; ? to realize clustering of fuzzy data; ? to search of Tolerance coefficient for Definite hierarchical agglomerative clustering method; ? to find Partition optimality coefficient by means of fuzzy c-means algorithm. Created algorithms were programmed and empirically verified on the model data and further used for research processing.

Czech name

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Czech description

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Type

B - Specialist book

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/GA406%2F09%2F0242" target="_blank" >GA406/09/0242: Evaluation of eLearningu - system approach</a><br>

Continuities

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

Publication year

2011

Confidentiality

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

ISBN

978-3-8433-8864-1

Number of pages

105

Publisher name

LAP Lambert Academic Publishing

Place of publication

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UT code for WoS book

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