Self-organizing maps is a type of unsupervised learning that involves building a two-dimensional map of data points. The objective of self-organizing maps is to identify the underlying structure of the data.
Self-organizing maps is a type of unsupervised learning that involves building a two-dimensional map of data points. The objective of self-organizing maps is to identify the underlying structure of the data.