Efficient Point Clustering for Visualization

The visualization of large spatial point data sets constitutes a problem with respect to runtime and quality. A visualization of raw data often leads to occlusion and clutter and thus a loss of information. Furthermore, particularly mobile devices have problems in displaying millions of data items....

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Bibliographic Details
Main Author: Beilschmidt, Christian
Contributors: Seeger, Bernhard (Prof. Dr.) (Thesis advisor)
Format: Doctoral Thesis
Published: Philipps-Universität Marburg 2019
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Call Number: urn:nbn:de:hebis:04-z2019-04729
Publication Date: 2019-08-28
Date of Acceptance: 2019-08-08
Downloads: 17 (2023), 156 (2022), 199 (2021), 99 (2020), 52 (2019)
License: According to UrhG § 31 (2), the author has granted the University Library Marburg the right of use for electronic publication on the Internet and for archiving on its archive server. He has declared that with the granting of the right of use according to UrhG § 31 (3) no exclusive rights of third parties are violated. All other rights for the exploitation of the publication remain with the author. https://rightsstatements.org/vocab/InC-NC/1.0/
Access URL: https://archiv.ub.uni-marburg.de/diss/z2019/0472