0000000000237126

AUTHOR

Sandra Alemany

0000-0003-1899-4165

showing 6 related works from this author

Archetypoids: A new approach to define representative archetypal data

2015

[EN] The new concept archetypoids is introduced. Archetypoid analysis represents each observation in a dataset as a mixture of actual observations in the dataset, which are pure type or archetypoids. Unlike archetype analysis, archetypoids are real observations, not a mixture of observations. This is relevant when existing archetypal observations are needed, rather than fictitious ones. An algorithm is proposed to find them and some of their theoretical properties are introduced. It is also shown how they can be obtained when only dissimilarities between observations are known (features are unavailable). Archetypoid analysis is illustrated in two design problems and several examples, compar…

Statistics and ProbabilityConvex hullArchetypebusiness.industryApplied MathematicsNon-negative matrix factorizationExtremal pointType (model theory)Unsupervised learningNon-negative matrix factorizationComputational MathematicsComputational Theory and MathematicsConvex hullUnsupervised learningExtremal pointArtificial intelligencebusinessArchetypeMathematics
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Towards a mean body for apparel design

2016

This paper focuses on shape average with applications to the apparel industry. Apparel industry uses a consensus sizing system; its major concern is to fit most of the population into it. Since anthropometric measures do not grow linearly, it is important to find prototypes to accurately represent each size. This is done using random compact mean sets, obtained from a cloud of 3D points given by a scanner and applying to the sample a previous definition of mean set. Additionally, two approaches to define confidence sets are introduced. The methodology is applied to data obtained from a real anthropometric survey. This paper has been partially supported by the following grants: TIN2009-14392…

ScannerComputer sciencePopulationCloud computingSample (statistics)02 engineering and technologycomputer.software_genre01 natural sciencesSet (abstract data type)010104 statistics & probabilityMean setAnthropometric surveyApparel design0202 electrical engineering electronic engineering information engineering0101 mathematicseducationeducation.field_of_studybusiness.industryConfidence setClothingSizingCompact spaceSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionData miningbusinesscomputerImage and Vision Computing
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Archetypal analysis: contributions for estimating boundary cases in multivariate accommodation problem

2013

[EN] The use of archetypal analysis is proposed in order to determine a set of representative cases that entail a certain percentage of the population, in the accommodation problem. A well-known anthropometric database has been used in order to compare our methodology with the common used PCA-approach, showing the advantages of our methodology: the level of accommodation is reached unlike the PCA approach, no more adjustments are necessary, the user can decide the number of archetypes to consider or leave the selection by a criterion. Unlike PCA, the objective of the archetypal analysis is obtaining extreme individuals, so it is the appropriate statistical technique for solving this type of…

Multivariate statisticsrepresentative human model generationGeneral Computer ScienceComputer scienceBoundary (topology)Type (model theory)Anthropometry [Percentile]computer.software_genrearchetypepercentileSet (abstract data type)Archetypal analysisStatisticsArchetypeSelection (genetic algorithm)Archetypeanthropometryrepresentative casebusiness.industryGeneral EngineeringRepresentative humanPercentile: AnthropometryModel generationRepresentative caseData miningbusinesscomputerAccommodation
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Looking for representative fit models for apparel sizing

2014

This paper is concerned with the generation of optimal fit models for use in apparel design. Representative fit models or prototypes are important for defining a meaningful sizing system. However, there is no agreement among apparel manufacturers and each one has their own prototypes and size charts i.e. there is a lack of standard sizes in garments from different apparel manufacturers. We propose two algorithms based on a new hierarchical partitioning around medoids clustering method originally developed for gene expression data. We are concerned with a different application; therefore, the dissimilarity between the objects has to be different and must be designed to deal with anthropometr…

Hierarchical treeInformation Systems and ManagementComputer sciencecomputer.software_genreMachine learningManagement Information SystemsINCA statisticArts and Humanities (miscellaneous)Mean split silhouetteDevelopmental and Educational PsychologyMarket shareCluster analysisbusiness.industryClothingMedoidSizingHIPAMOutlierPartitioning around medoidsArtificial intelligenceData miningbusinesscomputerInformation SystemsFit models
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Modeling of female human body shapes for apparel design based on cross mean sets

2014

This paper is concerned with a method to build prototypes of human bodies that can be used for apparel design. One of the most important issues in the apparel development process is to define a sizing system to provide a good fitting for the majority of the population. Since anthropometric measures do not present the same linear growth with size in each dimension, it is very important to find a prototype that represents as accurately as possible each class in the sizing system. In this paper we propose a method based on the concept of random compact mean set to define prototypes in apparel design. From a cloud of 3D points obtained with a 3D scanner a solid that represents the human body is…

education.field_of_studyComputer sciencePopulationGeneral EngineeringClass (philosophy)Sample (statistics)Mean setsHuman bodies prototypescomputer.software_genre3D shapeSizingComputer Science ApplicationsSet (abstract data type)Artificial IntelligenceData miningDimension (data warehouse)educationcomputerRandom compact setsSimulationRealization (probability)Expert Systems with Applications
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Apparel sizing using trimmed PAM and OWA operators

2012

This paper is concerned with apparel sizing system design. One of the most important issues in the apparel development process is to define a sizing system that provides a good fit to the majority of the population. A sizing system classifies a specific population into homogeneous subgroups based on some key body dimensions. Standard sizing systems range linearly from very small to very large. However, anthropometric measures do not grow linearly with size, so they can not accommodate all body types. It is important to determine each class in the sizing system based on a real prototype that is as representative as possible of each class. In this paper we propose a methodology to develop an …

Mathematical optimizationeducation.field_of_studyAnthropometric dataTrimmed k-medoidsComputer scienceProcess (engineering)PopulationGeneral EngineeringClass (biology)SizingComputer Science ApplicationsRange (mathematics)Artificial IntelligenceKey (cryptography)Sizing systemsSystems designOWA operatorsCluster analysiseducationSimulation
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