DataVisualizations (version 1.1.12)

InspectDistances: Inspection of Distance-Distribution

Description

Visualizes the distances between objects in the data matrix

Usage

InspectDistances(DataOrDistances,method= "euclidean",sampleSize = 50000,...)

Arguments

DataOrDistances

[1:n,1:d] data cases in rows, variables in columns, if not symmetric

or

[1:n,1:n] distance matrix, if symmetric

method

Optional, if Data[1:n,1:d] see parallelDist::parDist for distance method

sampleSize

double value defining the size of the sample for large distance matrizes, see InspectVariable

…

further arguments passed on to InspectVariable

Details

For an interpretation of the distribution analysis of the distance please read [Thrun, 2018, p. 27, 185].

References

[Thrun, 2018] Thrun, M. C.: Projection Based Clustering through Self-Organization and Swarm Intelligence, doctoral dissertation 2017, Springer, ISBN: 978-3-658-20539-3, Heidelberg, 2018.

Examples

# NOT RUN {
data("Lsun3D")
Data=Lsun3D$Data
# }
# NOT RUN {
InspectDistances(as.matrix(dist(Data)))
# }