Is it necessary to normalize a training data for KPCA?

5 次查看（过去 30 天）
K M Ibrahim Khalilullah
回答： Aditya 2025-3-25，6:58
I download some code from matlab file exchange. But nobody ensures about the data normalization that the data has zero-mean(approximately). The link to the code of matlab file exchange is here: https://www.mathworks.com/matlabcentral/fileexchange/39715-kernel-pca-and-pre-image-reconstruction

请先登录，再回答此问题。

回答（1 个）

Aditya
Aditya 2025-3-25，6:58
Hi,
Yes, it is generally necessary to normalize your training data before applying Kernel Principal Component Analysis (KPCA). Normalization is an important preprocessing step for several reasons:
  • Scale Sensivity
  • Kernel Function behaviour
  • Improved Convergence

类别

在 Help Center 和 File Exchange 中查找有关 Dimensionality Reduction and Feature Extraction 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