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 [BibTeX] [Marc21]
Estimating the Intrinsic Dimension of Data with a Fractal-Based Method
Type of publication: Journal paper
Citation: vincia02-art
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume: 24
Number: 10
Year: 2002
Note: IDIAP-RR 02-02
Crossref: vincia02:
Abstract: 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.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Camastra, Francesco
Vinciarelli, Alessandro
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Total mark: 0
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