ADPclustering: (Adaptive) Density Peak Clustering algorithm using automatic...

In FCPS: Fundamental Clustering Problems Suite

(Adaptive) Density Peak Clustering algorithm using automatic parameter selection

Description

The algorithm was introduced in [Rodriguez/Laio, 2014] and here implemented by [Wang/Xu, 2017]. The algorithm is adaptive in the sense that only ClusterNo has to be set instead of the paramters of [Rodriguez/Laio, 2014] implemented in ADPclustering.

Usage

ADPclustering(Data,ClusterNo=NULL,PlotIt=FALSE,...)

Arguments

Data	[1:n,1:d] matrix of dataset to be clustered. It consists of n cases of d-dimensional data points. Every case has d attributes, variables or features.
ClusterNo	Optional, either: A number k which defines k different Clusters to be build by the algorithm, or a range of ClusterNo to let the algorithm choose from.
PlotIt	default: FALSE, If TRUE plots the first three dimensions of the dataset with colored three-dimensional data points defined by the clustering stored in Cls
...	Further arguments to be set for the clustering algorithm, if not set, default arguments are used.

Details

The ADP algorithm decides the k number of clusters. This is contrary to the other version of the algorithm from another package which can be called with DensityPeakClustering.

Value

List of

Cls	[1:n] numerical vector with n numbers defining the classification as the main output of the clustering algorithm. It has k unique numbers representing the arbitrary labels of the clustering.
Object	Object defined by clustering algorithm as the other output of this algorithm

Author(s)

Michael Thrun

References

[Rodriguez/Laio, 2014] Rodriguez, A., & Laio, A.: Clustering by fast search and find of density peaks, Science, Vol. 344(6191), pp. 1492-1496. 2014.

[Wang/Xu, 2017] Wang, X.-F., & Xu, Y.: Fast clustering using adaptive density peak detection, Statistical methods in medical research, Vol. 26(6), pp. 2800-2811. 2017.

See Also

DensityPeakClustering

adpclust

Examples

data('Hepta')
out=ADPclustering(Hepta$Data,PlotIt=FALSE)

FCPS documentation built on Oct. 19, 2023, 5:06 p.m.