Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: pivmet: Pivotal Methods for Bayesian Relabelling and k-Means Clustering   The identification of groups' prototypes, i.e. elements of a dataset that
represent different groups of data points, may be relevant to the tasks of
clustering, classification and mixture modeling. The R package pivmet presented
in this paper includes different methods for extracting pivotal units from a
dataset. One of the main applications of pivotal methods is a Markov Chain
Monte Carlo (MCMC) relabelling procedure to solve the label switching in
Bayesian estimation of mixture models. Each method returns posterior estimates,
and a set of graphical tools for visualizing the output. The package offers
JAGS and Stan sampling procedures for Gaussian mixtures, and allows for
user-defined priors' parameters. The package also provides functions to perform
consensus clustering based on pivotal units, which may allow to improve
classical techniques (e.g. k-means) by means of a careful seeding. The paper
provides examples of applications to both real and simulated datasets.

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The categories of this paper are: alg-geom
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The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
25
The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
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The categories of this paper are: dg-ga
6
The categories of this paper are: astro-ph
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The categories of this paper are: adap-org
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The categories of this paper are: mtrl-th
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The categories of this paper are: funct-an
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The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
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The categories of this paper are: supr-con
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The categories of this paper are: cond-mat