I’m a bit confused on which specific cases Mean Normalization could be best for. As in, when is it best practice to use Mean Normalization over other forms of scaling?

I think Min-Max normalization work best when our observations and data are not presented within a Normal/Gaussian distribution. Meaning that the values are not centered around a mean with a unit standard deviation from that said mean. With the same train of thought, I think that Z-score normalization/Standardization works better when dealing with data in a Gaussian distribution–logical enough, I guess. Yet, I can’t think of any case where I would use mean normalization over other forms of scaling, probably because I’m a newbie in the Stats.

Any help would be appreciated. Thanks!