No, the meaning dimension there is different. In the Reynolds number it&#x27;s a ratio of measures where the units cancel.<p>Here we&#x27;re talking about mapping data into a high dimensional space, then trying to project that down to the minimum dimension space that can preserve the relevant information.<p>In the example we don&#x27;t have any reason to even think all our dimensions are orthogonal, we&#x27;re assigning a new dimension for each word, but we know there is a lot of overlap in word meaning.