Gradient Descent Batch Clustering for Image Classification
The batch clustering algorithm for classification application requires the initial parameters and also has a drifting phenomenon for the stochastic process. The initial parameters are critical for the clustering to con-verge to the partial optimum. The drifting phenomenon in original batch clusterin...
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| Autor principal: | |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Slovenian Society for Stereology and Quantitative Image Analysis
2023-07-01
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| Col·lecció: | Image Analysis and Stereology |
| Matèries: | |
| Accés en línia: | https://www.ias-iss.org/ojs/IAS/article/view/2905 |
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