Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ALMA: Alternating Minimization Algorithm for Clustering Mixture
  Multilayer Network   The paper considers a Mixture Multilayer Stochastic Block Model (MMLSBM),
where layers can be partitioned into groups of similar networks, and networks
in each group are equipped with a distinct Stochastic Block Model. The goal is
to partition the multilayer network into clusters of similar layers, and to
identify communities in those layers. Jing et al. (2020) introduced the MMLSBM
and developed a clustering methodology, TWIST, based on regularized tensor
decomposition. The present paper proposes a different technique, an alternating
minimization algorithm (ALMA), that aims at simultaneous recovery of the layer
partition, together with estimation of the matrices of connection probabilities
of the distinct layers. Compared to TWIST, ALMA achieves higher accuracy both
theoretically and numerically.

36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ