Dimension Reduction Techniques in Morhpometrics
| Thesis title in Czech: | Dimension Reduction Techniques in Morhpometrics |
|---|---|
| Thesis title in English: | Dimension Reduction Techniques in Morhpometrics |
| Key words: | Redukce dimenze, morfometrie, locally linear embedding, multidimensional scaling |
| English key words: | Dimensionality reduction, morphometrics, locally linear embedding, multidimensional scaling |
| Academic year of topic announcement: | 2008/2009 |
| Thesis type: | diploma thesis |
| Thesis language: | angličtina |
| Department: | Department of Software and Computer Science Education (32-KSVI) |
| Supervisor: | RNDr. Josef Pelikán |
| Author: | hidden - assigned and confirmed by the Study Dept. |
| Date of registration: | 25.06.2009 |
| Date of assignment: | 25.06.2009 |
| Date and time of defence: | 06.09.2011 10:00 |
| Date of electronic submission: | 03.08.2011 |
| Date of submission of printed version: | 05.08.2011 |
| Date of proceeded defence: | 06.09.2011 |
| Opponents: | RNDr. František Mráz, CSc. |
| Guidelines |
| In the first part of the thesis the students will acquaint themselves with literature on both geometrical morphometry and dimensionality reduction. In the implentation phase, the goal is to implement several of the most important dimensionality reduction techniques in the Morhpo framework and apply them on morphometrical datasets. As a part of the task, the students should attempt to compare and contrast the methods as well as possibly device their own improvements of the current techniques. An integral component of the thesis will be a thorough documentation of the used algorithms as well as an user's manual. |
| References |
| 1. J. Claude, Morhpometrics with R, 2008, Springer Verlag, ISBN 978-0-387-77789-4
2. I.K. Fodor, A survey of dimension reduction techniques, Lawrence Livermore National Laboratory, [online], accessible at https://computation.llnl.gov/casc/sapphire/pubs/148494.pdf, retrieved on 2009-06-01 3. The Morhpo Project, [online], accessible at http://cgg.mff.cuni.cz/trac/morpho/wiki 4. L. K. Saul and S. T. Roweis, Nonlinear Dimensionality Reduction by Locally Linear Embedding, Science, Vol. 290, December 2000 |
| Preliminary scope of work in English |
| Design and implementation of most important dimension-reduction techniques usable in morphometry. |