Original title: Dimension Reduction Techniques in Morhpometrics
Translated title: Dimension Reduction Techniques in Morhpometrics
Authors: Kratochvíl, Jakub ; Pelikán, Josef (advisor) ; Mráz, František (referee)
Document type: Master’s theses
Year: 2011
Language: eng
Abstract: [eng] [cze]
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. Tato práce se zabývá aplikací metod redukce dimenze v antropologii a morfometrii. Zejména se sousteuje na nelinearní metody redukce dimenze. Práce zavádí nový postup nazývaný multipass redukce dimenze. Ukážeme, že pomocí multipass redukce dimenze lze vylepšit výsledky klasifikace a snížit počet dimenzí nutných pro klasifikaci pomocí klastrování.
Keywords: Dimensionality reduction; locally linear embedding; morphometrics; multidimensional scaling; locally linear embedding; morfometrie; multidimensional scaling; Redukce dimenze

Institution: Charles University Faculties (theses) (web)
Document availability information: Available in the Charles University Digital Repository.
Original record: http://hdl.handle.net/20.500.11956/49451

Permalink: http://www.nusl.cz/ntk/nusl-313740


The record appears in these collections:
Universities and colleges > Public universities > Charles University > Charles University Faculties (theses)
Academic theses (ETDs) > Master’s theses