Density-based data analysis and similarity search

Stefan Brecheisen, Hans Peter Kriegel, Peer Kröger, Martin Pfeifle, Matthias Schubert, Arthur Zimek

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer-aided engineering, marketing and purchasing assistance as well as many others. Furthermore, the feature transformations and distance measures used in similarity search build the foundation of sophisticated data analysis and mining techniques. In this chapter, we show how visualizing cluster hierarchies describing a database of objects can aid the user in the timeconsuming task to find similar objects and discover interesting patterns.

Original languageEnglish
Title of host publicationMultimedia Data Mining and Knowledge Discovery
EditorsV. A. Petrushin, L. Khan
PublisherSpringer
Publication dateDec 2007
Pages94-115
ISBN (Print)978-1-84628-436-6
ISBN (Electronic)978-1-84628-799-2
DOIs
Publication statusPublished - Dec 2007
Externally publishedYes

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