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Understanding biplots
Biplots are a graphical method for simultaneously displaying two kinds of information; typically, the variables and sample units described by a multivariate data matrix or the items labelling the rows and columns of a two-way table. This book aims to popularize what is now seen to be a useful and re...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Wiley
2010
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| Acceso en línea: | http://cds.cern.ch/record/1612770 |
| _version_ | 1780932250303463424 |
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| author | Gower, John C Lubbe, Sugnet Gardner Le Roux, Niel J |
| author_facet | Gower, John C Lubbe, Sugnet Gardner Le Roux, Niel J |
| author_sort | Gower, John C |
| collection | CERN |
| description | Biplots are a graphical method for simultaneously displaying two kinds of information; typically, the variables and sample units described by a multivariate data matrix or the items labelling the rows and columns of a two-way table. This book aims to popularize what is now seen to be a useful and reliable method for the visualization of multidimensional data associated with, for example, principal component analysis, canonical variate analysis, multidimensional scaling, multiplicative interaction and various types of correspondence analysis. Understanding Biplots: Introduces th |
| id | cern-1612770 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2010 |
| publisher | Wiley |
| record_format | invenio |
| spelling | cern-16127702021-04-21T22:11:41Zhttp://cds.cern.ch/record/1612770engGower, John CLubbe, Sugnet GardnerLe Roux, Niel JUnderstanding biplotsMathematical Physics and Mathematics Biplots are a graphical method for simultaneously displaying two kinds of information; typically, the variables and sample units described by a multivariate data matrix or the items labelling the rows and columns of a two-way table. This book aims to popularize what is now seen to be a useful and reliable method for the visualization of multidimensional data associated with, for example, principal component analysis, canonical variate analysis, multidimensional scaling, multiplicative interaction and various types of correspondence analysis. Understanding Biplots: Introduces thWileyoai:cds.cern.ch:16127702010 |
| spellingShingle | Mathematical Physics and Mathematics Gower, John C Lubbe, Sugnet Gardner Le Roux, Niel J Understanding biplots |
| title | Understanding biplots |
| title_full | Understanding biplots |
| title_fullStr | Understanding biplots |
| title_full_unstemmed | Understanding biplots |
| title_short | Understanding biplots |
| title_sort | understanding biplots |
| topic | Mathematical Physics and Mathematics |
| url | http://cds.cern.ch/record/1612770 |
| work_keys_str_mv | AT gowerjohnc understandingbiplots AT lubbesugnetgardner understandingbiplots AT lerouxnielj understandingbiplots |