InspectDistances {DataVisualizations}

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].

Note

uses InspectVariable

Author(s)

Michael Thrun

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

data("Lsun3D")
Data=Lsun3D$Data

InspectDistances(as.matrix(dist(Data)))