Evacluster (version 0.1.0)

predict.tsneReductor: tsneReductor prediction function

Description

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

Usage

# S3 method for 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

# NOT RUN {
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])
# }