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Generalized low rank models

Principal components analysis (PCA) is a well-known technique for approximating a tabular data set by a low rank matrix. Generalized Low Rank Models extends the idea of PCA to handle arbitrary data sets consisting of numerical, Boolean, categorical, ordinal, and other data types.

Detalles Bibliográficos
Autores principales: Udell, Madeleine, Horn, Corinne, Zadeh, Reza, Boyd, Stephen
Lenguaje:eng
Publicado: Now Publishers 2016
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2761916
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author Udell, Madeleine
Horn, Corinne
Zadeh, Reza
Boyd, Stephen
author_facet Udell, Madeleine
Horn, Corinne
Zadeh, Reza
Boyd, Stephen
author_sort Udell, Madeleine
collection CERN
description Principal components analysis (PCA) is a well-known technique for approximating a tabular data set by a low rank matrix. Generalized Low Rank Models extends the idea of PCA to handle arbitrary data sets consisting of numerical, Boolean, categorical, ordinal, and other data types.
id cern-2761916
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher Now Publishers
record_format invenio
spelling cern-27619162021-04-21T16:39:18Zhttp://cds.cern.ch/record/2761916engUdell, MadeleineHorn, CorinneZadeh, RezaBoyd, StephenGeneralized low rank modelsXXPrincipal components analysis (PCA) is a well-known technique for approximating a tabular data set by a low rank matrix. Generalized Low Rank Models extends the idea of PCA to handle arbitrary data sets consisting of numerical, Boolean, categorical, ordinal, and other data types.Now Publishersoai:cds.cern.ch:27619162016
spellingShingle XX
Udell, Madeleine
Horn, Corinne
Zadeh, Reza
Boyd, Stephen
Generalized low rank models
title Generalized low rank models
title_full Generalized low rank models
title_fullStr Generalized low rank models
title_full_unstemmed Generalized low rank models
title_short Generalized low rank models
title_sort generalized low rank models
topic XX
url http://cds.cern.ch/record/2761916
work_keys_str_mv AT udellmadeleine generalizedlowrankmodels
AT horncorinne generalizedlowrankmodels
AT zadehreza generalizedlowrankmodels
AT boydstephen generalizedlowrankmodels