Record link: 
http://hdl.handle.net/20.500.12708/190505
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Title: 
Outlier explanation based on Shapley values for vector- and matrix-valued observations
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Citation: 
Filzmoser, P., & Mayrhofer, M. (2023). Outlier explanation based on Shapley values for vector- and matrix-valued observations. In P. Coretto, G. N. Giordano, & M. La Rocca (Eds.), CLADAC 2023 : Book of Abstracts and Short Papers : 14th Scientific Meeting of the Classification and Data Analysis Group (pp. 156–158). Pearson Education Resources. http://hdl.handle.net/20.500.12708/190505
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Filzmoser, Peter 
Mayrhofer, Marcus 
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Organisational Unit: 
E105-06 - Forschungsbereich Computational Statistics 
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Published in: 
CLADAC 2023 : Book of Abstracts and Short Papers : 14th Scientific Meeting of the Classification and Data Analysis Group 
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ISBN: 
978-88-9193-563-2
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Date (published): 
12-Sep-2023
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Event name: 
CLADAC 2023 – 14th Scientific Meeting Classification and Data Analysis Group 
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Event date: 
11-Sep-2023 - 13-Sep-2023
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Event place: 
Salerno, Italy
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Number of Pages: 
3
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Publisher: 
Pearson Education Resources
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Keywords: 
Outlier explanation; matrix-valued
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Link (external): 
https://it.pearson.com/content/dam/region-core/italy/pearson-italy/pdf/Docenti/Universit%C3%A0/CLADAG-2023.pdf
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Research Areas: 
Fundamental Mathematics Research: 100%
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Science Branch: 
1010 - Mathematik: 100%
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Appears in Collections:
Conference Paper

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