What's the difference between multi label classification and fuzzy classification?
Pergunta
Is it just the between academics and practitioners in term usage?
Or is theoretical difference of how we consider each sample: as belonging to multiple classes at once or to one fuzzy class?
Or this distinction has some practical meaning of how we build model for classification?
Nenhuma solução correta
Licenciado em: CC-BY-SA com atribuição
Não afiliado a datascience.stackexchange