Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Robust Clustering for Time Series Using Spectral Densities and
  Functional Data Analysis   In this work a robust clustering algorithm for stationary time series is
proposed. The algorithm is based on the use of estimated spectral densities,
which are considered as functional data, as the basic characteristic of
stationary time series for clustering purposes. A robust algorithm for
functional data is then applied to the set of spectral densities. Trimming
techniques and restrictions on the scatter within groups reduce the effect of
noise in the data and help to prevent the identification of spurious clusters.
The procedure is tested in a simulation study, and is also applied to a real
data set.

30
The categories of this paper are: q-alg
36
The categories of this paper are: cmp-lg
1
The categories of this paper are: cs
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol