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How does the Louvain algorithm work in this context?

The Louvain algorithm is a heuristic method for community detection. It iteratively optimizes modularity, a metric that measures the density of links inside communities as compared to links between communities. It involves two phases: first, finding small communities by optimizing modularity locally, and second, building a new network whose nodes are the communities from the first phase.

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On: community

What is a mandatory requirement for the input data when using the mdSummary action?

The input data must contain at least one numeric variable. If this condition is not met, the action will return an error status and an empty dictionary as the result.

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On: mdSummary

INITIALBACKUPS

specifies the minimum number of backup controllers that must connect before the server accepts client requests.

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On: getServOpt

inference method="VB" - maxVbIter=64-bit-integer

specifies the number of iterations for the variational Bayesian (VB) inference.

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On: gmm

What is the purpose of the exploreData action?

The exploreData action performs exploration, automatic variable analysis, and grouping using comprehensive statistical profiling of the variables.

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On: exploreData