Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | E. V., Myasnikov | |
dc.contributor.editor | Skala, Václav | |
dc.contributor.editor | Gavrilova, Marina | |
dc.date.accessioned | 2018-03-21T09:36:16Z | - |
dc.date.available | 2018-03-21T09:36:16Z | - |
dc.date.issued | 2015 | |
dc.identifier.citation | WSCG 2015: full papers proceedings: 23rd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 109-118. | en |
dc.identifier.isbn | 978-80-86943-65-7 (print) | |
dc.identifier.isbn | 978-80-86943-61-9 (CD-ROM) | |
dc.identifier.issn | 2464–4617 (print) | |
dc.identifier.issn | 2464–4625 (CD-ROM) | |
dc.identifier.uri | wscg.zcu.cz/WSCG2015/CSRN-2501.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/29432 | |
dc.description.abstract | Nonlinear mapping (Sammon mapping) is a nonlinear dimensionality reduction technique operating on the data structure preserving principle. Several possible space partitioning data structures (vp-trees, kd-trees and cluster trees) are applied in the paper to improve the efficiency of the nonlinear mapping algorithm. At the first step specified structures partition the input multidimensional space, at the second step space partitioning structure is used to build up the list of reference nodes used to approximate calculations. The further steps perform initialization and iterative refinement of the low-dimensional coordinates of objects in the output space using created lists of reference nodes. Analyzed space partitioning data structures are evaluated in terms of the data mapping error and runtime. The experiments are carried out on the well-known datasets. | en |
dc.format | 10 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | cs |
dc.relation.ispartofseries | WSCG 2015: full papers proceedings | en |
dc.rights | © Václav Skala - UNION Agency | en |
dc.subject | snížení dimenze | cs |
dc.subject | nelineární mapování | cs |
dc.subject | Sammonovo mapování | cs |
dc.subject | multidimenzionální škálování | cs |
dc.subject | MDS | cs |
dc.subject | prostorové dělení | cs |
dc.subject | prostorová dekompozice | cs |
dc.subject | vp strom | cs |
dc.subject | kd strom | cs |
dc.subject | klastrový strom | cs |
dc.title | Evaluation of space partitioning data structures for nonlinear mapping | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | dimensionality reduction | en |
dc.subject.translated | nonlinear mapping | en |
dc.subject.translated | Sammon´s mapping | en |
dc.subject.translated | multidimensional scaling | en |
dc.subject.translated | MDS | en |
dc.subject.translated | space partitioning | en |
dc.subject.translated | space decomposition | en |
dc.subject.translated | vp-tree | en |
dc.subject.translated | kd-tree | en |
dc.subject.translated | cluster tree | en |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | WSCG 2015: Full Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
Myasnikov.pdf | Plný text | 840,86 kB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/29432
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