Structural Intrinsic Dimensionality

Autor: Stéphane Marchand-Maillet, Oscar Pedreira, Edgar Chávez
Rok vydání: 2021
Předmět:
Zdroj: Similarity Search and Applications ISBN: 9783030896560
SISAP
DOI: 10.1007/978-3-030-89657-7_14
Popis: The dimension of the space within which the data lives is a major driver for the performance of many processing operations. However, global dimensionality cannot be blindly trusted as the data may lie on structures of lower local dimensionality within the ambient space. Here, we address the problem of estimating the local dimensionality of the data space or to provide a consistent proxy for it.
Databáze: OpenAIRE