How to train the feature vectors as input in clustering?
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Answer:I am training a neural network, but the feature vectors do not have the same size. This problem may be fixed by adding some zeros or removing some values, but the greater problem would be data loss or generating meaningless data.
So, is there any approach to make them equal size, without mentioned weaknesses? Maybe transformation to other dimensions?
I do not want to use random values or "NA".
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