summary.tsne.centralities: Summarize t-Distributed Stochastic Neighbor Embedding (t-SNE)...
In jafarilab/CINNA: Deciphering Central Informative Nodes in Network Analysis

summary.tsne.centralities

R Documentation

Summarize t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures

This function summarize tsne analysis results on centrality measures

## S3 method for class 'tsne.centralities'
summary(x, dims = 2, perplexity = 5,
  scale = TRUE)

`x`	a list containg the computed cetrality values
`dims`	integer; number of the outpu dimensions(default=2)
`perplexity`	numeric; A flexible measure of the efficient number of neighbors. The performance of SNE is fairly robust to changes in the perplexity, and typical values are between 5 and 50.(default=5)
`scale`	Whether the centrality values should be scaled or not(default=TRUE)

It resturns a list containing below values:

Y Matrix containing the new representations for the objects

costs The cost for every object after the final iteration

Minoo Ashtiani, Mohieddin Jafari