Multi-target regression and predictive clustering techniques constitute a rapidly evolving area within the field of machine learning. In multi-target regression, models are designed to predict a ...

There are various algorithms that do this computationally. Some even do different forms of classification and clustering. However, the basic idea is that this something you can do in Excel.

When clustering real data, both c-means and SOM classified observations into clusters that were closer together (relative to k-means) and hence had less distinct boundaries separating the clusters.

Predictive clustering techniques: Methods that combine clustering with prediction, enabling the grouping of similar outputs and enhancing model interpretability.