Titlebook: Understanding High-Dimensional Spaces; David B. Skillicorn Book 2012 The Author 2012 Clusters.Context.Counterintelligence.Data mining.Data

Euphonious

SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/u/image/941470.jpg

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https://doi.org/10.1007/978-3-642-33398-9Clusters; Context; Counterintelligence; Data mining; Datasets; Graphs; High-dimensional spaces; Intelligenc

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Introduction,Many organizations collect large amounts of data: businesses about their customers, governments about their citizens and visitors, scientists about physical systems, and economists about financial systems. Collecting such data is the easy part; extracting useful knowledge from it is often much harder.

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Basic Structure of High-Dimensional Spaces,Data is naturally represented geometrically by associating each record with a point in the space spanned by the attributes. This idea, although simple, raises a number of challenging problems in practice.

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音樂(lè)戲劇

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一再困擾

Interim

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