Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Faster estimation of the correlation fractal dimension using
  box-counting   Fractal dimension is widely adopted in spatial databases and data mining,
among others as a measure of dataset skewness. State-of-the-art algorithms for
estimating the fractal dimension exhibit linear runtime complexity whether
based on box-counting or approximation schemes. In this paper, we revisit a
correlation fractal dimension estimation algorithm that redundantly rescans the
dataset and, extending that work, we propose another linear, yet faster and as
accurate method, which completes in a single pass.

17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
3
The categories of this paper are: physics
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat