predict.tsneReductor: tsneReductor prediction function

In Evacluster: Evaluation Clustering Methods for Disease Subtypes Diagnosis

tsneReductor prediction function

Description

This function performs an embedding of new data using an existing embedding.

Usage

## S3 method for class 'tsneReductor'
predict(object, k = NULL, ...)

Arguments

object	A returned object of tsneReductor function
k	The number is used for computing the means of #neighbors with min distance (#Neighbor=sqrt(#Samples/k).
...	New samples set

Value

tsneY:An embedding of new data

Examples

library("mlbench")
data(Sonar)

rndSamples <- sample(nrow(Sonar),150)
trainData <- Sonar[rndSamples,]
testData <- Sonar[-rndSamples,]

tsne_trainData <- tsneReductor(trainData[,1:60],dim = 3,perplexity = 10,max_iter = 1000)

tsne_testData <- predict(tsne_trainData,k=3,testData[,1:60])

Evacluster documentation built on April 1, 2022, 9:07 a.m.