R: Inspection of Distance-Distribution

InspectDistances {DataVisualizations} | R Documentation

## 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)))

[Package DataVisualizations version 1.2.3 Index]