ECLRMC (version 1.0)

CLRMC: Takes an incomplete matrix and returns the imputed matrix using CLRMC method.

Description

Takes an incomplete matrix and returns the imputed matrix using CLRMC method.

Usage

CLRMC(x, beta = 0.1)

Arguments

x

An m by n matrix with NAs

beta

A value in [0,1] range. Higher beta value means comparing each row with more nearest neighbours. Default value = 0.1

Value

An m by n matrix with imputed values

References

Chen, Xiaobo, et al. "Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation." Knowledge-Based Systems 132 (2017): 249-262.

Examples

# NOT RUN {
x = matrix(c(5.1, 4.9, NA, 4.6, 3.5, 3.0, 3.2, 3.1, 1.4, NA, 1.3, 1.5), byrow = TRUE, ncol=4)
CLRMC(x, beta = 0.2)
# }