Fifa

<p>A random sample of 6000 players from the FIFA videogame with various statistics on all player ranging
from position, cost in the game, capacity in offense/defense, speed, etc. 
Two columns pos_x, pos_y with average player possible positions (in opta coordiantes)
were derived from the raw data.  was also u.</p>

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

Fifa function

<p>An R data.frame with columns containing each of the descriptive
  statistics of a player.</p>

Fifa: Fifa data

Description

Usage

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Examples