Mathematical Theories of Machine Learning - Theory and Applications
Bin Shi, S. S. Iyengar
Springer Nature Switzerland AG, 2020
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In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries.
- ISBN-13
- 9783030170783
- ISBN-10
- 3030170780
- Publisher
- Springer Nature Switzerland AG
- Year
- 2020
- Publication date
- 2020-08-14
- Pages
- 133
- Dimensions
- 233x156x11
- Weight
- 246