Consolidation Kernel
Overview & Synopsis
This paper introduces a new kernel for pattern classification. The consolidation kernel is designed to deal with a topological difficulty: a data set where some of the clouds of points associated with the different categories are parted in multiple clusters, possibly distant one from the other. It brings together such clusters. It is incorporated in a multi-class support vector machine. A comparative experimental study highlights its appealing properties.
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hal.science)
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Document Information
| Document Title | Consolidation Kernel |
|---|---|
| Author / Organization | Aya El Dakdouki, Yann Guermeur, Nicolas Wicker |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2026 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-206557 |
| Original Source Link | Visit Source Page on hal.science » |