Persistence kernels for classification: A comparative study
Fuente:
arXiv
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866909286480740352 |
|---|---|
| author | Bandiziol, Cinzia De Marchi, Stefano |
| author_facet | Bandiziol, Cinzia De Marchi, Stefano |
| contents | The aim of the present work is a comparative study of different persistence kernels applied to various classification problems. After some necessary preliminaries on homology and persistence diagrams, we introduce five different kernels that are then used to compare their performances of classification on various datasets. We also provide the Python codes for the reproducibility of results. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_07090 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Persistence kernels for classification: A comparative study Bandiziol, Cinzia De Marchi, Stefano Machine Learning Algebraic Topology The aim of the present work is a comparative study of different persistence kernels applied to various classification problems. After some necessary preliminaries on homology and persistence diagrams, we introduce five different kernels that are then used to compare their performances of classification on various datasets. We also provide the Python codes for the reproducibility of results. |
| title | Persistence kernels for classification: A comparative study |
| topic | Machine Learning Algebraic Topology |
| url | https://arxiv.org/abs/2408.07090 |