Open Problems in Spectral Dimensionality Reduction
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 computational techniques used to analyse this data cannot cope w...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Series: | SpringerBriefs in Computer Science,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction
- Spectral Dimensionality Reduction
- Modelling the Manifold
- Intrinsic Dimensionality
- Incorporating New Points
- Large Scale Data
- Postcript.