👉 Unclustering is a method of data analysis that aims to reduce the dimensionality of a dataset, making it easier to analyze and interpret. This process involves grouping similar observations together while removing any non-essential attributes or features from the original dataset. Unclustering can be used for tasks such as clustering, classification, and feature extraction.
