Improving self-organizing map with nguyen-widrow initialization lgorithm

@inproceedings{Linan2019ImprovingSM,
  title={Improving self-organizing map with nguyen-widrow initialization lgorithm},
  author={Maureen Nettie N Linan and Bobby D. Gerardo and Ruji P. Medina},
  year={2019}
}
Received Nov 29, 2018 Revised Jan 21, 2019 Accepted Mar 11, 2019 The quality of cluster result and the learning speed of Self-organizing map (SOM) are dependent on the initialization of weights since the initial values for weight vectors affect the performance of SOM training when applied to clustering. In this paper, the improvement of SOM was achieved with the application of the Nguyen-Widrow algorithm to initialize weights. NguyenWidrow initialization algorithm is a method for initialization… CONTINUE READING

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Key Quantitative Results

  • A reduction of an average of 7.39% on the number of iterations was recorded using improved SOM as compared to traditional SOM thus improving the training time.

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