Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The functional mean-shift algorithm for mode hunting and clustering in
  infinite dimensions   We introduce the functional mean-shift algorithm, an iterative algorithm for
estimating the local modes of a surrogate density from functional data. We show
that the algorithm can be used for cluster analysis of functional data. We
propose a test based on the bootstrap for the significance of the estimated
local modes of the surrogate density. We present two applications of our
methodology. In the first application, we demonstrate how the functional
mean-shift algorithm can be used to perform spike sorting, i.e. cluster neural
activity curves. In the second application, we use the functional mean-shift
algorithm to distinguish between original and fake signatures.

22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin