Embedding 4-manifolds in S5
โ Scribed by Tim Cochran
- Publisher
- Elsevier Science
- Year
- 1984
- Tongue
- English
- Weight
- 970 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0040-9383
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The complexity of typically high-dimensional genomic data requires computational work prone to integrate different biological information sources through efficient model solutions. Usually, one step involves dimensionality reduction (DR), which requires projecting the input data onto a low dimension
Manifold learning is an important dimensionality reduction tool that discovers the structure of high dimensional data and provides understanding of multidimensional patterns in data mining, pattern recognition, and machine learning. Several manifold learning algorithms are applied to extract the int