Estimating the Intrinsic Dimension of Data with a Fractal-Based Method

In this paper, the problem of estimating the Intrinsic Dimension of a data set is investigated. A fractal-based approach using the Grassberger-Procaccia algorithm is proposed. Since the Grassberger-Procaccia algorithm performs badly on sets of high dimensionality, an empirical procedure, that improves the original algorithm, has been developed. The procedure has been tested on data sets of known dimensionality and on time series of Santa Fe competition.


Publié dans:
IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 10, 1404-1407
Année
2002
Mots-clefs:
Note:
IDIAP-RR 02-02
Laboratoires:




 Notice créée le 2006-03-10, modifiée le 2019-12-05

n/a:
Télécharger le documentPDF
Liens externes:
Télécharger le documentURL
Télécharger le documentRelated documents
Évaluer ce document:

Rate this document:
1
2
3
 
(Pas encore évalué)