ReduceToLowLand: ReduceToLowLand

In GeneralizedUmatrix: Credible Visualization for Two-Dimensional Projections of Data

ReduceToLowLand

Description

ReduceToLowLand

Usage

ReduceToLowLand(BestMatchingUnits, GeneralizedUmatrix, Data = NULL, Cls = NULL,
Key = NULL, LowLimit,Force=FALSE)

Arguments

BestMatchingUnits	[1:n,1:n,1:n] BestMatchingUnits =[BMkey, BMLineCoords, BMColCoords]
GeneralizedUmatrix	[1:l,1:c] U-Matrix heights in Matrix form
Data	[1:n,1:d] data cases in lines, variables in Columns or [] or 0
Cls	[1:n] a possible classif( ication of the data or [] or 0
Key	[1:n] the keys of the data or [] or 0
LowLimit	GeneralizedUmatrix heights up to this are considered to lie in the low lands default: LowLimit = prctile(Uheights,80) nur die 80# tiefsten
Force	==TRUE: Always perform reduction

Value

LowLandBM	the unique BestMatchingUnits in the low lands of an u-Matrix
LowLandInd	index such that UniqueBM = BestMatchingUnits(UniqueInd,]
LowLandData	Data reduced to LowLand: LowLandData = Data(LowLandInd,]
LowLandCls	Cls reduced to LowLand: LowLandCls = Cls(LowLandInd)
LowLandKey	Key reduced to LowLand: LowLandKey = Key(LowLandInd)

Author(s)

ALU 2021 in matlab, MCT reimplemented in R

GeneralizedUmatrix documentation built on May 31, 2023, 7:26 p.m.