Dimensional expansion for weather clustering.

NOAA en Unsplash

As described before dimensional expansion is a simple technique to create a high dimensional dense data structure for machine learning applications. It is useful for large data samples, like large sequences as presented in the previous example. Large image data could also be transformed to bring close together related attributes.