Implicitly Weighted Robust Classification Applied to Brain Activity Research
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F17%3A00473143" target="_blank" >RIV/67985807:_____/17:00473143 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-54717-6_6" target="_blank" >http://dx.doi.org/10.1007/978-3-319-54717-6_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-54717-6_6" target="_blank" >10.1007/978-3-319-54717-6_6</a>
Alternative languages
Result language
angličtina
Original language name
Implicitly Weighted Robust Classification Applied to Brain Activity Research
Original language description
In bioinformatics, regularized linear discriminant analysis is commonly used as a tool for supervised classification problems tailor-made for high-dimensional data with the number of variables exceeding the number of observations. However, its various available versions are too vulnerable to the presence of outlying measurements in the data. In this paper, we exploit principles of robust statistics to propose new versions of regularized linear discriminant analysis suitable for high-dimensional data contaminated by (more or less) severe outliers. The work exploits a regularized version of the minimum weighted covariance determinant estimator, which is one of highly robust estimators of multivariate location and scatter. The performance of the novel classification methods is illustrated on real data sets with a detailed analysis of data from brain activity research.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA13-23940S" target="_blank" >GA13-23940S: Personality and spontaneous brain activity during rest and movie watching: relation and structural determinants</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Biomedical Engineering Systems and Technologies
ISBN
978-3-319-54716-9
ISSN
1865-0929
e-ISSN
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Number of pages
21
Pages from-to
87-107
Publisher name
Springer
Place of publication
Cham
Event location
Rome
Event date
Feb 21, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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