RejectionSamplingPDEwithPCA: RejectionSamplingPDEwithPCA

In Mthrun/dbt.FlowCytometry: Databionics Toolbox for the Analysis of Fluorescence-Activated Cell Sorting (FACS) Data

RejectionSamplingPDEwithPCA

Description

Samples Cluster consistent using Rejection sampling with a combination of PCA and PDE

Usage

RejectionSamplingPDEwithPCA(Data, SampleSize = 1000)

Arguments

Data	[1:n,1:d] datamatrix
SampleSize	SampleSize, usually lower than n,

Details

if SampleSize is higher than n, then only d=3 data is currently possible.

Cluster consistent in a sense that besides outliers all FCPS structures can be sampled correctly [Thrun/Ultsch, 2020].

Value

[1:SampleSize,1:d] sample of datamatrix

Author(s)

Michael Thrun

References

[Thrun/Ultsch, 2020] Thrun, M. C., & Ultsch, A.: Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems, Data in Brief, Vol. in press, pp. 105501, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.dib.2020.105501")}, 2020.

Examples

#ToDo

Mthrun/dbt.FlowCytometry documentation built on June 5, 2023, 10:30 a.m.