Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Similarity Problems in High Dimensions   The main contribution of this dissertation is the introduction of new or
improved approximation algorithms and data structures for several similarity
search problems. We examine the furthest neighbor query, the annulus query,
distance sensitive membership, nearest neighbor preserving embeddings and set
similarity queries in the large-scale, high-dimensional setting.

17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ