DocumentCode
3269920
Title
BOSS: browsing OPTICS-plots for similarity search
Author
Brecheisen, Stefan ; Kriegel, Hans-Peter ; Kröger, Peer ; Pfeifle, Martin ; Viermetz, Maximilian ; Pötke, Marco
Author_Institution
Inst. for Comput. Sci., Univ. of Munich, Germany
fYear
2004
fDate
30 March-2 April 2004
Firstpage
858
Abstract
An increasing number of database applications have emerged for which efficient and effective support for similarity search is substantial. Particularly, the task of finding similar shapes in 2D and 3D becomes more and more important. Examples for new applications that require the retrieval of similar 3D objects include databases for molecular biology, medical imaging and computer aided design. Hierarchical clustering was shown to be effective for evaluating similarity models. Furthermore, visually analyzing cluster hierarchies helps the user, e.g. an engineer, to find and group similar objects. We present an interactive browsing tool called BOSS (browsing OPTICS-plots for similarity search), which utilizes solid automatic cluster recognition and extraction of meaningful cluster representatives in order to provide the user with significant and quick information.
Keywords
database management systems; information retrieval; pattern clustering; query formulation; 3D object retrieval; BOSS interactive browsing tool; browsing OPTICS-plots; cluster representative extraction; computer aided design databases; database applications; hierarchical clustering; medical imaging databases; molecular biology databases; similarity search; solid automatic cluster recognition; Application software; Biological system modeling; Biology computing; Biomedical imaging; Biomedical optical imaging; Image databases; Image retrieval; Information retrieval; Shape; Visual databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 2004. Proceedings. 20th International Conference on
ISSN
1063-6382
Print_ISBN
0-7695-2065-0
Type
conf
DOI
10.1109/ICDE.2004.1320086
Filename
1320086
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