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- W196503458 abstract "Previous chapter Next chapter Full AccessProceedings Proceedings of the 2008 SIAM International Conference on Data Mining (SDM)Creating a Cluster Hierarchy under Constraints of a Partially Known HierarchyKorinna Bade and Andreas NürnbergerKorinna Bade and Andreas Nürnbergerpp.13 - 24Chapter DOI:https://doi.org/10.1137/1.9781611972788.2PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstract Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper tries to fill this gap by analyzing a scenario, where constraints are derived from a hierarchy that is partially known in advance. This scenario can be found, e.g., when structuring a collection of documents according to a user specific hierarchy. Major issues of current approaches to constraint based clustering are discussed, especially towards the hierarchical setting. We introduce the concept of hierarchical constraints and continue by presenting and evaluating two approaches using them. The approaches cover the two major fields of constraint based clustering, i.e. instance and metric based constraint integration. Our objects of interest are text documents. Therefore, the presented algorithms are especially fitted to work for these where necessary. Despite showing the properties and ideas of the algorithms in general, we evaluated the case of constraints that are unevenly scattered over the instance space, which is very common for real-world problems but not satisfyingly covered in other work so far. Previous chapter Next chapter RelatedDetails Published:2008ISBN:978-0-89871-654-2eISBN:978-1-61197-278-8 https://doi.org/10.1137/1.9781611972788Book Series Name:ProceedingsBook Code:PR130Book Pages:1-869" @default.
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- W196503458 title "Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy" @default.
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