Understanding High-Dimensional Spaces
High-dimensional spaces arise as a way of modelling datasets with many attributes. Such a dataset can be directly represented in a space spanned by its attributes, with each record represented as a point in the space with its position depending on its attribute values. Such spaces are not easy to wo...
Clasificación: | Libro Electrónico |
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Autor principal: | Skillicorn, David B. (Autor) |
Autor Corporativo: | SpringerLink (Online service) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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Edición: | 1st ed. 2012. |
Colección: | SpringerBriefs in Computer Science,
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Temas: | |
Acceso en línea: | Texto Completo |
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