optimal.cost: A helper function which determines the optimal cost for a...

In Benjamin-Couey/CS599.RPackageTwo: Run basic unsupervised learning algorithms

Description

A helper function which determines the optimal cost for a given subsignal

Usage

optimal.cost(Q.vec, S.vec, start.index, end.index)

Arguments

Q.vec	The cumulative sum of squares for the full signal
S.vec	The cumulative sum for the full signal
start.index	The first index in the subsignal, inclusive
end.index	The last index in the subsignal, inclusive

Value

The optimal cost for the subsignal

Examples

signal <- c( runif(25, min=0, max=2),
             runif(25, min=2, max=5) )
Q.vec <- c( 0, cumsum( signal^2 ) )
S.vec <- c( 0, cumsum( signal ) )
cost <- optimal.cost( Q.vec, S.vec, 1, length( signal ) )

Benjamin-Couey/CS599.RPackageTwo documentation built on Dec. 31, 2020, 10:45 a.m.