Detection of outliers using Iteratively Reweighted Least Squares Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F12%3A10111165" target="_blank" >RIV/00216208:11310/12:10111165 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Detection of outliers using Iteratively Reweighted Least Squares Algorithm
Original language description
Automatic detection of outliers with robust statistic estimator resistant to multiple errors. The method is based on the iteratively re-weighted least squares adjustment (IRLS). Our approach uses an iterative algoritm with the heuristic decrement of weights of elements suspected to be outliers.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/DF11P01OVV003" target="_blank" >DF11P01OVV003: TEMAP - Technology for access to Czech map collections: methodology and software for protection and re-use of national cartographic heritage</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
Software for outliers detection
Technical parameters
Implementace v C++ a Matlab skript
Economical parameters
Oproti stávajícím algoritmům výrazně zefektivňuje detekci outliers i pro datasety s vysokou kontaminací odlehlých prvků.
Owner IČO
00216208
Owner name
Univerzita Karlova v Praze