EstimateNumberOfModes: Estimates the number of modes

In Mthrun/AdaptGauss2D: Gaussian Mixture Modeling in 2D

Estimates the number of modes

Description

Estimates the number of modes for two-dimensional gaussian distributed data using [Thrun/Stier, 2021].

Usage

EstimateNumberOfModes(Data, MaxModeNo = 7, SampleSize = 4000, ...)

Arguments

Data	[1:n,1:d] numerical matrix of a dataset to be clustered. It consists of n cases of d-dimensional data points. Every case has d attributes, variables or features.
MaxModeNo	Highest number of modes to be checked
SampleSize	size of sample to be taken that is tested for the number of modes
...	Optional further arguments to ClusterNoEstimation

Details

An empirical approach is taken internally by using a combination of ward and ssi index.

Value

LIST of

ModesNo	scalar, numerical value describing the number of clusters
ListObj	resulting object of function ClusterNoEstimation of package FCPS

Author(s)

Michael Thrun

References

[Thrun/Stier, 2021] Thrun, M. C., & Stier, Q.: Fundamental Clustering Algorithms Suite SoftwareX, Vol. 13(C), pp. 100642, doi 10.1016/j.softx.2020.100642, 2021.

See Also

ClusterNoEstimation

Examples

data(EngyTime)
EstimateNumberOfModes(EngyTime$Data)$ModesNo

Mthrun/AdaptGauss2D documentation built on July 19, 2022, 3:11 a.m.