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Gaussian Kernel Non-Parametric Regression combined with K-means clustering and Classification and regression trees. We use standard genetic algorithm to find the optimal bandwidth

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kernel-genetic-algorithm

Gaussian Kernel Non-Parametric Regression combined with K-means clustering and Classification and Regression Trees (to do dimensional scaling for the independent variables). We use standard genetic algorithm to find the optimal bandwidths based on Generalized Cross-Validation (GCV) criteria.

The code for reading netcdf files also included.

Contributors:

  1. Irwansyah
  2. Mustika Hadijati

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Gaussian Kernel Non-Parametric Regression combined with K-means clustering and Classification and regression trees. We use standard genetic algorithm to find the optimal bandwidth

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