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calNMI <- function(x, y) {
# Calculates normalized mutual information between two vectors
#
# Args:
# x: a vector
# y: a vector
#
# Returns:
# The normalized mutual information between vectors x and y.
x <- as.vector(x)
y <- as.vector(y)
mutual.info <- (.mutualInformation(x, y)/
sqrt(.entropy(x) * .entropy(y)))
return(max(0, mutual.info, na.rm=TRUE))
}
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