Combination of Hierarchical and Partitional Clustering Using Object Oriented Perspective

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F02%3A00000013" target="_blank" >RIV/61988987:17310/02:00000013 - 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
Combination of Hierarchical and Partitional Clustering Using Object Oriented Perspective
Original language description
In this paper we describe results achieved by combination of the hierarchical and partitional clustering. Proper design and object-oriented approach bring new possibilities of the various combinations of the strategies in numerical clustering. One of t hese possibilities enables to set out with the hierarchical clustering and at some thoughtful level continues with the partitional clustering by adding new clusters. In this way we obtain numerical characteristics for the newly added clusters that may b eused for making diagnoses. 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 and the BETA language for its rich facilities of the conceptual modeling.
Czech name
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Czech description
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Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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