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    Understanding High-Dimensional Spaces

    ISBN-10: 3642333974
    ISBN-13: 9783642333972
    Author(s): David B. Skillicorn
    Description: 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  More...
    List price: $39.95
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    Publisher: Springer
    Binding: Paperback
    Pages: 125
    Size: 6.25" wide x 9.25" long x 0.25" tall
    Weight: 0.396
    Language: English

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