Journal
INFORMATION SCIENCES
Volume 328, Issue -, Pages 26-41Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2015.08.029
Keywords
Intrinsic dimension; Curse of dimensionality; Maximum likelihood; Correlation dimension; Dimensionality reduction
Categories
Ask authors/readers for more resources
Dimensionality reduction methods are preprocessing techniques used for coping with high dimensionality. They have the aim of projecting the original data set of dimensionality N, without information loss, onto a lower M-dimensional submanifold. Since the value of M is unknown, techniques that allow knowing in advance the value of M, called intrinsic dimension (ID), are quite useful. The aim of the paper is to review state-of-the-art of the methods of ID estimation, underlining the recent advances and the open problems. (C) 2015 Elsevier Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available