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**Anthropometry**: Statistical Methods for Anthropometric Data**parallelep8landm**: Parallelepiped of 8 landmarks

# Parallelepiped of 8 landmarks

### Description

This is a parallelepiped made up of 8 landmarks, used as controlled data in the simulation study carried out in the paper referred below.

### Usage

1 |

### Format

An array with one matrix of 8 rows and 3 columns.

### Source

Software Rhinoceros.

### References

Vinue, G., Simo, A., and Alemany, S., (2014). The k-means algorithm for 3D shapes with an application to apparel design, *Advances in Data Analysis and Classification*, 1–30.

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- Anthropometry-internalArchetypoids: Several internal functions to compute and represent...
- Anthropometry-internalHipamAnthropom: Several internal functions used by both $HIPAM_MO$ and...
- Anthropometry-internalPlotTree: Several internal functions used to build the HIPAM plot tree
- Anthropometry-internalTDDclust: Several internal functions to clustering based on the L1 data...
- Anthropometry-package: Statistical Methods for Anthropometric Data
- archetypesBoundary: Archetypal analysis in multivariate accommodation problem
- archetypoids: Finding archetypoids
- array3Dlandm: Helper function for the 3D landmarks
- bustSizesStandard: Helper function for defining the bust sizes
- CCbiclustAnthropo: Cheng and Church biclustering algorithm applied to...
- cdfDissWomenPrototypes: CDF for the dissimilarities between women and computed...
- checkBranchLocalIMO: Evaluation of the candidate clustering partition in...
- checkBranchLocalMO: Evaluation of the candidate clustering partition in...
- computSizesHipamAnthropom: Computation of the hipamAnthropom elements for a given number...
- computSizesTrimowa: Computation of the trimowa elements for a given number of...
- cube34landm: Cube of 34 landmarks
- cube8landm: Cube of 8 landmarks
- descrDissTrunks: Description of the dissimilarities between women's trunks
- figures8landm: Figures of 8 landmarks with labelled landmarks
- getBestPamsamIMO: Generation of the candidate clustering partition in...
- getBestPamsamMO: Generation of the candidate clustering partition in...
- getDistMatrix: Dissimilarity matrix between individuals and prototypes
- HartiganShapes: Hartigan-Wong k-means for 3D shapes
- hipamAnthropom: HIPAM algorithm for anthropometric data
- landmarksSampleSpaSurv: Landmarks of the sampled women of the Spanish Survey
- LloydShapes: Lloyd k-means for 3D shapes
- matPercs: Helper function for the percentils of the archetypoids
- nearestToArchetypes: Nearest individuals to archetypes
- optraShapes: Auxiliary optra subroutine of the Hartigan-Wong k-means for...
- overlapBiclustersByRows: Overlapped biclusters by rows
- parallelep34landm: Parallelepiped of 34 landmarks
- parallelep8landm: Parallelepiped of 8 landmarks
- percentilsArchetypoid: Computing percentiles of a certain archetypoid
- plotPrototypes: Prototypes representation
- plotTreeHipamAnthropom: HIPAM dendogram
- plotTrimmOutl: Trimmed or outlier observations representation
- preprocessing: Data preprocessing before computing archetypal observations
- projShapes: Helper function for plotting the shapes
- qtranShapes: Auxiliary qtran subroutine of the Hartigan-Wong k-means for...
- sampleSpanishSurvey: Sample database of the Spanish anthropometric survey
- screeArchetypal: Screeplot of archetypal individuals
- shapes3dShapes: 3D shapes plot
- skeletonsArchetypal: Skeleton plot of archetypal individuals
- stepArchetypesRawData: Archetype algorithm to raw data
- stepArchetypoids: Run the archetypoid algorithm several times
- TDDclust: Trimmed clustering based on L1 data depth
- trimmedLloydShapes: Trimmed Lloyd k-means for 3D shapes
- trimmedoid: Trimmed k-medoids algorithm
- trimmOutl: Helper generic function for obtaining the trimmed and outlier...
- trimowa: Trimmed PAM with OWA operators
- USAFSurvey: USAF 1967 survey
- weightsMixtureUB: Calculation of the weights for the OWA operators
- xyplotPCArchetypes: PC scores for archetypes