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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...
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| Autor principal: | |
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| Formato: | Livro |
| Idioma: | Inglês |
| Colecção: | (Springerbriefs in computer science) |
| Assuntos: | |
| Acesso em linha: | https://minerva.ufrj.br/F/?func=direct&doc_number=000909416&local_base=UFR01 |
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