[PDF.75ut] Open Problems in Spectral Dimensionality Reduction (SpringerBriefs in Computer Science)

Open Problems in Spectral Dimensionality Reduction (SpringerBriefs in Computer Science)

[PDF.ij17] Open Problems in Spectral Dimensionality Reduction (SpringerBriefs in Computer Science)

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 | #4144568 in Books |  2014-01-21 |  2014-01-21 | Original language:English | PDF # 1 |  9.25 x.25 x6.10l,.0 | File type: PDF | 92 pages

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||From the Back Cover||The last few years have seen a great increase in the amount of data available to scientists. Datasets with millions of objects and hundreds, if not thousands of measurements are now commonplace in many disciplines. However, many of the compu

The last few years have seen a great increase in the amount of data available to scientists, yet many of the techniques used to analyse this data cannot cope with such large datasets. Therefore, strategies need to be employed as a pre-processing step to reduce the number of objects or measurements whilst retaining important information. Spectral dimensionality reduction is one such tool for the data processing pipeline. Numerous algorithms and improvements have been prop...

You easily download any file type for your device.Open Problems in Spectral Dimensionality Reduction (SpringerBriefs in Computer Science)   |  Harry Strange, Reyer Zwiggelaar. Which are the reasons I like to read books. Great story by a great author.

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