Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Review of Data Structures for Computationally Efficient
  Nearest-Neighbour Entropy Estimators for Large Systems with Periodic Boundary
  Conditions   Information theoretic quantities are extremely useful in discovering
relationships between two or more data sets. One popular method---particularly
for continuous systems---for estimating these quantities is the nearest
neighbour estimators. When system sizes are very large or the systems have
periodic boundary conditions issues with performance and correctness surface,
however solutions are known for each problem. Here we show that these solutions
are inappropriate in systems that simultaneously contain both features and
discuss a lesser known alternative solution involving Vantage Point trees that
is capable of addressing both issues.

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The categories of this paper are: dg-ga
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The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
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The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: quant-ph
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The categories of this paper are: funct-an
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The categories of this paper are: alg-geom
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The categories of this paper are: comp-gas
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The categories of this paper are: mtrl-th
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The categories of this paper are: eess
3
The categories of this paper are: physics
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The categories of this paper are: ao-sci
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The categories of this paper are: plasm-ph