| summary_tsne_centralities {CINNA} | R Documentation |
Summarize t-Distributed Stochastic Neighbor Embedding (t-SNE) on centrality measures
Description
This function summarizes the t-SNE analysis results on centrality measures.
Usage
summary_tsne_centralities(x, dims = 2, perplexity = 5, scale = TRUE)
Arguments
x |
A list containing the computed centrality values. |
dims |
An integer specifying the number of output dimensions (default = 2). |
perplexity |
A numeric value representing a flexible measure of the efficient number of neighbors. The performance of t-SNE is fairly robust to changes in perplexity, and typical values are between 5 and 50 (default = 5). |
scale |
A logical value indicating whether the centrality values should be scaled or not (default = TRUE). |
Value
A list containing the following elements: - "Y": A matrix containing the new representations for the objects after t-SNE. - "costs": The cost for every object after the final iteration of t-SNE. The "costs" provide information about the optimization process.
Author(s)
Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari