[PDF.16ql] Understanding High-Dimensional Spaces (SpringerBriefs in Computer Science)

Understanding High-Dimensional Spaces (SpringerBriefs in Computer Science)

[PDF.ej83] Understanding High-Dimensional Spaces (SpringerBriefs in Computer Science)

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 | #3389373 in Books |  Springer |  2012-09-27 |  2012-09-27 | Original language:English | PDF # 1 |  9.25 x.28 x6.10l,.40 | File type: PDF | 108 pages

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|| ||From the reviews:Selected by Computing s as one of the Best s & Notable Books of 2013|“This brief eight-chapter book seeks to provide the reader with the tools to perform analysis of high-dimensional datasets and spaces. … book follows a very g

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 work with because of their high dimensionality: our intuition about space is not reliable, and measures such as distance do not provide as clear information as we might expec...

You can specify the type of files you want, for your gadget.Understanding High-Dimensional Spaces (SpringerBriefs in Computer Science)   |  David B. Skillicorn. Just read it with an open mind because none of us really know.

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