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When using a self-organizing feature map for data imputation, which of the following approaches will provide a more accurate estimate for a missing value? Question
When using a self-organizing feature map for data imputation, which of the following approaches will provide a more accurate estimate for a missing value? Question 17Select one: a. replace the missing value with the average of the corresponding weight value over all of the immediate neighbours of the best matching neuron and that of the best matching neuron b. replace the missing value with the corresponding weight of the best matching neuron
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