Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Zero-error dissimilarity based classifiers   We consider general non-Euclidean distance measures between real world
objects that need to be classified. It is assumed that objects are represented
by distances to other objects only. Conditions for zero-error dissimilarity
based classifiers are derived. Additional conditions are given under which the
zero-error decision boundary is a continues function of the distances to a
finite set of training samples. These conditions affect the objects as well as
the distance measure used. It is argued that they can be met in practice.

8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th
34
The categories of this paper are: chem-ph
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph