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[Experimental] Calculates the pointwise mutual information (can be also normalised) across all columns of the data. This can be used to identify (dis)similar samples based on Boolean characteristics.

Usage

rs_pointwise_mutual_info(x, normalise)

Arguments

x

Logical matrix. The columns represent features and the rows represent samples

normalise

Shall the normalised pointwise mutual information be returned.

Value

The (normalised) pointwise mutual information matrix between the columns. Pairs without co-occurrence are -Inf.