Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Kernel method for clustering based on optimal target vector   We introduce the notion of optimal target vector, and describe how it creates
a link between supervised and unsupervised learning. We exploit this notion to
construct Ising models, for dichotomic clustering, whose couplings are (i) both
ferro- and anti-ferromagnetic (ii) depending on the whole data-set and not only
on pairs of samples. The effectiveness of the method is shown in the case of
the well known iris data-set and in benchmarks of gene expression levels.

30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an