Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation

no code implementations • 15 Jul 2019 • Ruben Becker, Imane Hafnaoui, Michael E. Houle, Pan Li, Arthur Zimek

For each point, the recently-proposed Local Intrinsic Dimension (LID) model is used in identifying the axis directions along which features have the greatest local discriminability, or equivalently, the fewest number of components of LID that capture the local complexity of the data.

Clustering