Visualization of large-scale user association feature data based on a nonlinear dimensionality reduction method
The prosperity of data science and the booming growth of the internet industry have made the analysis and processing of large-scale user-related feature data a particularly important issue in modern society. Traditional linear dimensionality reduction methods often fail to obtain intuitive informati...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2025-08-01
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| Series: | Nonlinear Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/nleng-2025-0141 |
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