👉 Unsmoothened is a concept in the field of machine learning and statistics, which refers to a data point that has been manually or automatically removed from an existing dataset, resulting in a smaller dataset with fewer features. This can be particularly useful for creating new models by removing irrelevant or redundant information. In other words, unsmoothened data is typically used in the context of dimensionality reduction techniques such as principal component analysis (PCA) and t-SNE to reduce the number of variables
