Nonlinear principal component analysis and its applications:
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore
Springer
[2016]
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Schriftenreihe: | SpringerBriefs in statistics
|
Schlagworte: | |
Online-Zugang: | BTU01 FHR01 FRO01 TUM01 UBM01 UBT01 UBW01 UBY01 UEI01 UPA01 Volltext |
Beschreibung: | 1 Online-Ressource (VIII, 80 Seiten, 17 illus., 8 illus. in color) |
ISBN: | 9789811001598 |
ISSN: | 2191-544X |
DOI: | 10.1007/978-981-10-0159-8 |
Internformat
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Datensatz im Suchindex
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any_adam_object | |
author | Mori, Yūichi 1967- Kuroda, Masahiro 1941- Makino, Naomichi |
author_GND | (DE-588)1058604295 (DE-588)170062724 |
author_facet | Mori, Yūichi 1967- Kuroda, Masahiro 1941- Makino, Naomichi |
author_role | aut aut aut |
author_sort | Mori, Yūichi 1967- |
author_variant | y m ym m k mk n m nm |
building | Verbundindex |
bvnumber | BV043990857 |
classification_tum | MAT 000 |
collection | ZDB-2-SMA |
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dewey-full | 519.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5 |
dewey-search | 519.5 |
dewey-sort | 3519.5 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/978-981-10-0159-8 |
format | Electronic eBook |
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id | DE-604.BV043990857 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:40:33Z |
institution | BVB |
isbn | 9789811001598 |
issn | 2191-544X |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029399064 |
oclc_num | 968233331 |
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physical | 1 Online-Ressource (VIII, 80 Seiten, 17 illus., 8 illus. in color) |
psigel | ZDB-2-SMA ZDB-2-SMA_2016 ZDB-2-SMA UBY_PDA_SMA_Kauf |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | Springer |
record_format | marc |
series2 | SpringerBriefs in statistics |
spelling | Mori, Yūichi 1967- Verfasser (DE-588)1058604295 aut Nonlinear principal component analysis and its applications Yuichi Mori, Masahiro Kuroda, Naomichi Makino Singapore Springer [2016] 1 Online-Ressource (VIII, 80 Seiten, 17 illus., 8 illus. in color) txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in statistics 2191-544X Statistics Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Theorie (DE-588)4059787-8 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Statistik (DE-588)4056995-0 s Theorie (DE-588)4059787-8 s Methode (DE-588)4038971-6 s DE-604 Kuroda, Masahiro 1941- Verfasser (DE-588)170062724 aut Makino, Naomichi Verfasser aut Erscheint auch als Druck-Ausgabe 978-981-10-0157-4 https://doi.org/10.1007/978-981-10-0159-8 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Mori, Yūichi 1967- Kuroda, Masahiro 1941- Makino, Naomichi Nonlinear principal component analysis and its applications Statistics Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Theorie (DE-588)4059787-8 gnd Statistik (DE-588)4056995-0 gnd Methode (DE-588)4038971-6 gnd |
subject_GND | (DE-588)4059787-8 (DE-588)4056995-0 (DE-588)4038971-6 |
title | Nonlinear principal component analysis and its applications |
title_auth | Nonlinear principal component analysis and its applications |
title_exact_search | Nonlinear principal component analysis and its applications |
title_full | Nonlinear principal component analysis and its applications Yuichi Mori, Masahiro Kuroda, Naomichi Makino |
title_fullStr | Nonlinear principal component analysis and its applications Yuichi Mori, Masahiro Kuroda, Naomichi Makino |
title_full_unstemmed | Nonlinear principal component analysis and its applications Yuichi Mori, Masahiro Kuroda, Naomichi Makino |
title_short | Nonlinear principal component analysis and its applications |
title_sort | nonlinear principal component analysis and its applications |
topic | Statistics Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Theorie (DE-588)4059787-8 gnd Statistik (DE-588)4056995-0 gnd Methode (DE-588)4038971-6 gnd |
topic_facet | Statistics Statistical Theory and Methods Statistics and Computing/Statistics Programs Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Theorie Methode |
url | https://doi.org/10.1007/978-981-10-0159-8 |
work_keys_str_mv | AT moriyuichi nonlinearprincipalcomponentanalysisanditsapplications AT kurodamasahiro nonlinearprincipalcomponentanalysisanditsapplications AT makinonaomichi nonlinearprincipalcomponentanalysisanditsapplications |