Football

Network of American football games between Division IA colleges during regular season Fall 2000.

datasets

An ensemble of algorithms that enable the clustering of networks and data matrices (such as counts, categorical or continuous) with different type of generative models. Model selection and clustering is performed in combination by optimizing the Integrated Classification Likelihood (which is equivalent to minimizing the description length). Several models are available such as: Stochastic Block Model, degree corrected Stochastic Block Model, Mixtures of Multinomial, Latent Block Model. The optimization is performed thanks to a combination of greedy local search and a genetic algorithm (see <arXiv:2002:11577> for more details).

Etienne C<c3><b4>me

greed

Clustering and Model Selection with the Integrated
Classification Likelihood

Etienne Côme

Nicolas Jouvin

Football function

An object of class <code>list</code> with two fields;<dl>
 <dt>X</dt>
<dd>network adjacency matrix as a <code><a href="/link/sparseMatrix?package=greed&version=0.6.1" data-mini-rdoc="greed::sparseMatrix">sparseMatrix</a></code> of size 115x115</dd> <dt>label</dt>
<dd>vector of teams conferences of size 115 with the following encoding (0 = Atlantic Coast,
 1 = Big East,
 2 = Big Ten,
 3 = Big Twelve,
 4 = Conference USA,
 5 = Independents,
 6 = Mid-American,
 7 = Mountain West,
 8 = Pacific Ten,
 9 = Southeastern,
 10 = Sun Belt,
 11 = Western Athletic)</dd>
</dl>

Football: American College football network dataset

Description

Usage

Arguments

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References

Examples