Application of fuzzy clustering on direct marketing case

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26441021%3A_____%2F17%3AN0000019" target="_blank" >RIV/26441021:_____/17:N0000019 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31130/17:00050019
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Application of fuzzy clustering on direct marketing case
Original language description
Cluster analysis is a multivariate statistical classification method, implying different methods and procedures. Clustering methods can be divided into hard and fuzzy; the latter one provides a more precise picture of the information by clustering objects than hard clustering. But in practice, the optimal number of clusters is not known a priori, and therefore it is necessary to determine the optimal number of clusters. To solve this problem, the validity indices help us. However, there are many different validity indices to choose from. Each of these indices has its strengths and weaknesses. In this research, several coefficients for estimating the optimal number of clusters (for fuzzy clustering techniques) will be examined. Those coefficients are: Dunn’s coefficient (PC), modified Dunn’s coefficient (PCmod), and the Xie-Beni (XB) index. All those indices will be applied on direct marketing case.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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