DocumentCode
3147160
Title
Outliers in Biometrical Data - Two Real Examples of Analysis
Author
Bartkowiak, Anna
Author_Institution
Inst. of Comput. Sci., Univ. of Wroclaw, Wroclaw, Poland
fYear
2009
fDate
25-28 June 2009
Firstpage
1
Lastpage
6
Abstract
The problem of finding and identifying outliers in multivariate measurement data is as old as the data analysis itself. The question: "what is an outlier" has many answers, is is especially difficult when considering high-dimensional data. In the paper a search for outliers in two real data sets is shown. It is stressed that identifying outliers should not be done on the basis of asymptotical cutoffs derived under assumption of normality of the analyzed data.
Keywords
biometrics (access control); computerised instrumentation; data analysis; biometrical data; data analysis; high-dimensional data; multivariate measurement data; outliers; Bioinformatics; Biological cells; Biometrics; Computer science; Data analysis; Data engineering; Frequency; Fungi; Informatics; Robustness; outliers; principal components and SVD; robust Mahalanobis distances; robust estimate;
fLanguage
English
Publisher
ieee
Conference_Titel
Biometrics and Kansei Engineering, 2009. ICBAKE 2009. International Conference on
Conference_Location
Cieszyn
Print_ISBN
978-0-7695-3692-7
Electronic_ISBN
978-0-7695-3692-7
Type
conf
DOI
10.1109/ICBAKE.2009.47
Filename
5223287
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