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Dimension Reduction Techniques in Morhpometrics / Dimension Reduction Techniques in Morhpometrics

This thesis centers around dimensionality reduction and its usage on landmark-type data which are often used in anthropology and morphometrics. In particular we focus on non-linear dimensionality reduction methods - locally linear embedding and multidimensional scaling. We introduce a new approach to dimensionality reduction called multipass dimensionality reduction and show that improves the quality of classification as well as requiring less dimensions for successful classification than the traditional singlepass methods.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:313740
Date January 2011
CreatorsKratochvíl, Jakub
ContributorsPelikán, Josef, Mráz, František
Source SetsCzech ETDs
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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