Preprints, Working Papers, ... Year : 2024

Consolidation Kernel

Abstract

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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Dates and versions

hal-04774707 , version 1 (08-11-2024)

Identifiers

  • HAL Id : hal-04774707 , version 1

Cite

Aya El Dakdouki, Yann Guermeur, Nicolas Wicker. Consolidation Kernel. 2024. ⟨hal-04774707⟩
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