For problem sets that are given over purely nominal feature sets, classification methods based on vector spaces are not always the best solution. I'm curious as to how strongly you agree or disagree with this statement. If you were doing ML classification on nominal data, which approach would you use? Provide detailed explanations for your answers to the two questions posed.

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