Nonlinear Dimensionality Reduction
Methods of dimensionality reduction provide a way to understand and visualize the structure of complex data sets. Traditional methods like principal component analysis and classical metric multidimensional scaling suffer from being based on linear models. Until recently, very few methods were able t...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2007, 2007
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| Edition: | 1st ed. 2007 |
| Series: | Information Science and Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- High-Dimensional Data
- Characteristics of an Analysis Method
- Estimation of the Intrinsic Dimension
- Distance Preservation
- Topology Preservation
- Method comparisons
- Conclusions