This file contains several functions called for both $HIPAM_MO$ and $HIPAM_IMO$ algorithms. Therefore, they are not used directly.
The $HIPAM_MO$ and $HIPAM_IMO$ algorithms are different in the way to generate and validate a clustering partition. However, the functions related to the further clustering steps are common to both of them. These functions are those collected in this file.
The ext.dist function is adapted to compute the dissimilarity developed in McCulloch et al. (1998). See hipamAnthropom for a detailed explanation of the HIPAM algorithm.
All these functions were originally created by E. Wit et al., and they are available freely on https://www.math.rug.nl/~ernst/book/smida.html.
Vinue, G., Leon, T., Alemany, S., and Ayala, G., (2014). Looking for representative fit models for apparel sizing, Decision Support Systems 57, 22--33.
Wit, E., and McClure, J., (2004). Statistics for Microarrays: Design, Analysis and Inference. John Wiley & Sons, Ltd.
Wit, E., and McClure, J., (2006). Statistics for Microarrays: Inference, Design and Analysis. R package version 0.1. https://www.math.rug.nl/~ernst/book/smida.html.
McCulloch, C., Paal, B. and Ashdown, S., (1998). An optimization approach to apparel sizing, Journal of the Operational Research Society 49, 492--499.
hipamAnthropom, getBestPamsamMO, getBestPamsamIMO, checkBranchLocalMO, checkBranchLocalIMO