mahalanobis: Mahalanobis Distance

Description Usage Arguments Examples

Description

Returns the squared Mahalanobis distance of an FLVector x and FLVector y with respect to a covariance matrix sigma = S. D^2 = (x - y)' Σ^-1 (x - y)

Usage

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mahalanobis(x, y, S, ...)

Arguments

x

An FLVector of data with say, p columns.

y

An FLVector of data with say, p columns.

S

A covariance matrix of the distribution(p*p)

Examples

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x<-FLVector(c(0,0))
y<-FLVector(1:2)
ma<-cbind(1:6,1:3)
s<-var(ma)
S<-as.FLMatrix(s)
mahalanobis(x,y,S)

Fuzzy-Logix/AdapteR documentation built on May 6, 2019, 5:07 p.m.