Benchmark dataset for the Voronoi diagram of 3D spherical balls

In this paper, we present a dataset to be used for the construction of the Voronoi diagram of 3D spherical balls (VD-B3). The dataset consists of sphere arrangements including general, anomaly, and extreme cases. The dataset also includes protein models downloaded from RCSB Protein Data Bank (PDB)....

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Published inData in brief Vol. 45; p. 108605
Main Authors Song, Chanyoung, Lee, Mokwon, Choi, Seunghwan, Kim, Deok-Soo
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.12.2022
Elsevier
Subjects
Computational geometry
Coordinate
Data
Random
Sphere
Tessellation
Sphere
Tessellation
Computational geometry
Random
Coordinate
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Abstract In this paper, we present a dataset to be used for the construction of the Voronoi diagram of 3D spherical balls (VD-B3). The dataset consists of sphere arrangements including general, anomaly, and extreme cases. The dataset also includes protein models downloaded from RCSB Protein Data Bank (PDB). The dataset can be used as a standard benchmark dataset to verify and validate the correctness, efficiency, and robustness of the construction algorithm. The dataset is simple and easy to understand. The details of the experiment and analysis based on this dataset are presented in the original research article: “Robust Construction of the Voronoi Diagram of Spherical Balls in the Three-Dimensional Space” which introduces the topology-oriented incremental algorithm for the construction that is thoroughly validated and compared with two implementations of the well known edge-tracing algorithm.
AbstractList In this paper, we present a dataset to be used for the construction of the Voronoi diagram of 3D spherical balls (VD-B3). The dataset consists of sphere arrangements including general, anomaly, and extreme cases. The dataset also includes protein models downloaded from RCSB Protein Data Bank (PDB). The dataset can be used as a standard benchmark dataset to verify and validate the correctness, efficiency, and robustness of the construction algorithm. The dataset is simple and easy to understand. The details of the experiment and analysis based on this dataset are presented in the original research article: "Robust Construction of the Voronoi Diagram of Spherical Balls in the Three-Dimensional Space" which introduces the topology-oriented incremental algorithm for the construction that is thoroughly validated and compared with two implementations of the well known edge-tracing algorithm.In this paper, we present a dataset to be used for the construction of the Voronoi diagram of 3D spherical balls (VD-B3). The dataset consists of sphere arrangements including general, anomaly, and extreme cases. The dataset also includes protein models downloaded from RCSB Protein Data Bank (PDB). The dataset can be used as a standard benchmark dataset to verify and validate the correctness, efficiency, and robustness of the construction algorithm. The dataset is simple and easy to understand. The details of the experiment and analysis based on this dataset are presented in the original research article: "Robust Construction of the Voronoi Diagram of Spherical Balls in the Three-Dimensional Space" which introduces the topology-oriented incremental algorithm for the construction that is thoroughly validated and compared with two implementations of the well known edge-tracing algorithm.
In this paper, we present a dataset to be used for the construction of the Voronoi diagram of 3D spherical balls (VD-B3). The dataset consists of sphere arrangements including general, anomaly, and extreme cases. The dataset also includes protein models downloaded from RCSB Protein Data Bank (PDB). The dataset can be used as a standard benchmark dataset to verify and validate the correctness, efficiency, and robustness of the construction algorithm. The dataset is simple and easy to understand. The details of the experiment and analysis based on this dataset are presented in the original research article: “Robust Construction of the Voronoi Diagram of Spherical Balls in the Three-Dimensional Space” which introduces the topology-oriented incremental algorithm for the construction that is thoroughly validated and compared with two implementations of the well known edge-tracing algorithm.
ArticleNumber 108605
Author Lee, Mokwon
Kim, Deok-Soo
Choi, Seunghwan
Song, Chanyoung
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10.1016/j.cad.2012.03.005
10.1107/S0021889892009944
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SubjectTerms Computational geometry
Coordinate
Data
Random
Sphere
Tessellation
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Title Benchmark dataset for the Voronoi diagram of 3D spherical balls
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