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When reading about vector dimensionality, usually I find two different uses for the term.

  1. It may refer to the number of data points inside a vector. Example: $v = (4, 3, -1)$ has dimensionality 3.

  2. It may appear in tensor context, where vectors are unidimensional, matrices ares two-dimensional and so on.

Most of the time, the use of the term dimensionality its clear given the context. But I was just wondering if there is a less ambiguous manner to refer to this 2 cases.

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