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I have seen the concept of a "continuous vector" described in the context of embeddings. For instance, this answer to a question on embeddings in the context of deep learning. I obviously know what a vector is, but it isn't clear to me what a continuous vector is as a mathematical object. What is a "continuous vector"?

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Continuous vector simply means that each value of the vector is allowed to be a real number, in contrast of integer values used in other categorical encoding techniques like one-hot encoding (only 0 and 1) or class-value mapping (a different integer per class).

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  • $\begingroup$ Oh, ok. I was wondering if that was the case, since that's the most obvious option, but I wasn't sure if it was referring to something else in the context of machine learning. Thanks for the clarification. $\endgroup$ Jul 4, 2022 at 12:16

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