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In this document, we are sharing the source code of KPCA, which is based on kernel principal component analysis. KPCA is a widely used technique in machine learning for nonlinear dimensionality reduction and data compression. The provided source code comes with detailed annotations, making it easier for beginners to understand and apply the technique in their own projects. We hope that this resource will be helpful for those who are interested in KPCA and its applications.