create.DNcenters {datanugget}

Create Data Nugget Centers

Description

This function creates the centers of data nuggets from a random sample.

Usage

create.DNcenters(RS,
                 delete.percent,
                 DN.num,
                 dist.metric,
                 make.pb = FALSE)

Arguments

RS

A data matrix (data frame, data table, matrix, etc) containing only entries of class numeric.

delete.percent

The proportion of observations to remove from the data matrix at each iteration when finding data nugget centers. Must be of class numeric and within (0,1).

DN.num

The number of data nuggets to create. Must be of class numeric.

dist.metric

The distance metric used to create the initial centers of data nuggets. Must be 'euclidean' or 'manhattan'.

make.pb

Print progress bar? Must be TRUE or FALSE.

Details

This function is used for reducing a random sample to data nugget centers in the create.DN function. NOTE THAT THIS FUNCTION IS NOT DESIGNED FOR USE OUTSIDE OF THE create.DN FUNCTION.

Value

DN.data

DN.num by (ncol(RS)) data frame containing the data nugget centers.

Author(s)

Traymon Beavers, Javier Cabrera, Mariusz Lubomirski

References

Cherasia, K. E., Cabrera, J., Fernholz, L. T., & Fernholz, R. (2022). Data Nuggets in Supervised Learning. In Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler (pp. 429-449). Cham: Springer International Publishing.

Beavers, T., Cheng, G., Duan, Y., Cabrera, J., Lubomirski, M., Amaratunga, D., Teigler, J. (2023). Data Nuggets: A Method for Reducing Big Data While Preserving Data Structure (Submitted for Publication)