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OKPCA

This repository contains MATLAB code for principal component analysis of continuous-time trajectories using occupation kernels. The code implements the methods described in https://arxiv.org/abs/2303.11138

Several examples that illustrate the use of the methods are also available in the examples folder.

Compatibility: MATLAB R2020b or newer.

The HoffmanKPCA folder contains slightly modified version of Hoffman's KPCA code. This code is used for the numerical comparisons presented in the OKPCA paper.

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Occupation kernel principal component analysis

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