Local intrinsic dimension estimation

"Local intrinsic dimension estimation" refers to estimating the intrinsic dimension of a data manifold in a local region. This task aims to reveal the true complexity of the data by analyzing the local structure within high-dimensional datasets. Such an estimation is crucial for understanding data distribution, optimizing machine learning models, and enhancing data processing efficiency. In the context of Miscellaneous tasks, it works alongside other data exploration and preprocessing techniques to support more accurate data analysis and modeling.