Local feature analysis based clustering algorithm with application to polymer model reduction

@article{Xue2010LocalFA,
  title={Local feature analysis based clustering algorithm with application to polymer model reduction},
  author={Yuzhen Xue and Pete J. Ludovice and Martha A. Grover},
  journal={49th IEEE Conference on Decision and Control (CDC)},
  year={2010},
  pages={1687-1692}
}
We are interested in model reduction for the dynamics of large scale systems that contain a collection of spatially oriented points, in particular, a polymer system. Local feature analysis (LFA) introduces a specific state reduction algorithm that offers a topographic representation. In this paper, we propose a new LFA based clustering algorithm for system model reduction with application to the polymer system. The contribution is two-fold. First, a new sparsification algorithm is developed for… CONTINUE READING

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