Mathematical Theories of Machine Learning - Theory and Applications

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.

• | : Bin Shi, S. S. Iyengar
• | Publisher: Springer Nature Switzerland AG
• | Publication Date: Aug 14, 2020
• | Country of Publication: Switzerland
• | Number of Pages: 133 pages
• | Language: Unknown
• | Binding: Paperback / softback
• | ISBN-10: 3030170780
• | ISBN-13: 9783030170783