Anthropometry-internalHipamAnthropom | R Documentation |

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`

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