error: A MVDA Function

Description Usage Arguments Value

Description

This function calculates the approximation error at each iteration as the difference between the matrix X and its approximation PH

Usage

1
error(X, PH, l, n)

Arguments

X

is the matrix resulting from the concatenation of the membership matrix for each view

PH

is the approximation of X

l

is the number of rows of X

n

is the number of columns of X

Value

the approximation error


angy89/MVDA_package documentation built on May 7, 2019, 8:58 p.m.