document: 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 -LRB- 1983 -RRB- 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
doc_bio_tags: O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O B I I
extractive_keyphrases: time series santa fe competition
abstractive_keyphrases: data intrinsic dimension estimation fractal-based method pattern recognition