Shi-Jinn Horng
Biographic Data
| ID | 10056180 |
|---|---|
| NAME | Shi-Jinn Horng |
| GIVEN NAMES | Shi-Jinn |
| FAMILY NAME | Horng |
| SIGNATURE | HORNG S |
| AFFILIATIONS | National Taiwan University of Science and Technology |
| ORCID | 0000-0002-9978-0400 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering
The graph regularized nonnegative matrix factorization (GNMF) algorithms have received a lot of attention in the field of machine learning and data mining, as well as the square loss method is commonly used to measure the quality of reconstructed data. However, noise is introduced when data reconstruction is performed; and the square loss method is sensitive to noise, which leads to degradation in the performance of data analysis tasks. To solve …
No prominent works on this page.
Graph Regularized Sparse Non-Negative Matrix Factorization for Clustering
The graph regularized nonnegative matrix factorization (GNMF) algorithms have received a lot of attention in the field of machine learning and data mining, as well as the square loss method is commonly used to measure the quality of reconstructed data. However, noise is introduced when data reconstruction is performed; and the square loss method is sensitive to noise, which leads to degradation in the performance of data analysis tasks. To solve …
Adjacency matrix (1 work) · Advanced Computing and Algorithms (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Cluster analysis (1 work) · Computer Science (1 work) · Dense graph (1 work) · Eigenvalues and eigenvectors (1 work) · Face and Expression Recognition (1 work) · Graph (1 work)