predict.tsneReductor {Evacluster} | R Documentation |
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])
[Package Evacluster version 0.1.0 Index]