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Informatics Report Series
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| Title:From outliers to prototypes: Ordering data |
| Authors:
Stefan Harmeling
; Guido Dornhege
; David Tax
; Frank Meinecke
; Klaus-Robert Muller
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| Date: 2006 |
| Publication Title:Neurocomputing |
| Publisher:Elsevier |
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Publication Type:Journal Article
Publication Status:Published
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Volume No:#69(13-15)
Page Nos:1608-161
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DOI:10.1016/j.neucom.2005.05.015
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- Abstract:
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We propose simple and fast methods based on nearest neighbors that order objects from high-dimensional data sets from typical points to untypical points. On the one hand, we show that these easy-to-compute orderings allow us to detect outliers (i.e. very untypical points) with a performance comparable to or better than other often much more sophisticated methods. On the other hand, we show how to use these orderings to detect prototypes (very typical points) which facilitate exploratory data analysis algorithms such as noisy nonlinear dimensionality reduction and clustering. Comprehensive experiments demonstrate the validity of our approach.
- Links To Paper
- No links available
- Bibtex format
- @Article{EDI-INF-RR-0752,
- author = {
Stefan Harmeling
and Guido Dornhege
and David Tax
and Frank Meinecke
and Klaus-Robert Muller
},
- title = {From outliers to prototypes: Ordering data},
- journal = {Neurocomputing},
- publisher = {Elsevier},
- year = 2006,
- volume = {#69(13-15)},
- pages = {1608-161},
- doi = {10.1016/j.neucom.2005.05.015},
- }
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