Lsun3D: Lsun3D inspired by FCPS [Thrun/Ultsch, 2020] introduced in...

In DataVisualizations: Visualizations of High-Dimensional Data

Lsun3D inspired by FCPS [Thrun/Ultsch, 2020] introduced in [Thrun, 2018]

Description

Clearly defined clusters, different variances. Detailed description of dataset and its clustering challenge is provided in [Thrun/Ultsch, 2020].

Usage

data("Lsun3D")

Details

Size 404, Dimensions 3

Dataset defines discontinuites, where the clusters have different variances. Three main clusters, and four outliers (in cluster 4). For a more detailed description see [Thrun, 2018].

References

[Thrun, 2018] Thrun, M. C.: Projection Based Clustering through Self-Organization and Swarm Intelligence, doctoral dissertation 2017, Springer, Heidelberg, ISBN: 978-3-658-20539-3, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-658-20540-9")}, 2018.

[Thrun/Ultsch, 2020] Thrun, M. C., & Ultsch, A.: Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems, Data in Brief, Vol. 30(C), pp. 105501, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.dib.2020.105501")}, 2020.

Examples

data(Lsun3D)
str(Lsun3D)
Cls=Lsun3D$Cls
Data=Lsun3D$Data

DataVisualizations documentation built on Oct. 10, 2023, 9:06 a.m.