kernel scale in svm ?

17 次查看（过去 30 天）
M. A.hsh
M. A.hsh 2025-10-15，17:01
评论： M. A.hsh 2025-10-15，17:37
In:
template = templateSVM(...
'KernelFunction', 'gaussian', ...
'KernelScale', 3.9, ...
'BoxConstraint', 1, ...
'Standardize', true);
modelSVM = fitcecoc(...
predictors, respones, ...
'Learners', template, ...
'Coding', 'onevsone');
Kernel scale here: represents gamma or sigma ?

请先登录，再回答此问题。

回答（1 个）

Walter Roberson
Walter Roberson 2025-10-15，17:24
According to https://www.mathworks.com/matlabcentral/answers/516738-what-kernel-scale-in-svm-really-is#comment_983291
@Hiro Yoshino wrote
Kernelscale is literally a scaling parameter for the input data.
The input data is recommended to be scaled with respect to a feature before being applied to the Kernel function. When the absolute values of some features range widely or can be large, their inner product can be dominant in the Kernel calculation. So this kernelScale can be used to prevent this from happening. It also helps maintain the information.
  1 个评论
M. A.hsh
M. A.hsh 2025-10-15，17:37
The equation of the Gaussian (RBF) kernel can be expressed using either σ (sigma) or γ (gamma) depending on convention. In MATLAB’s fitcsvm, the parameter KernelScale corresponds to σ, or γ ?

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Support Vector Machine Regression 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by