summary_tsne_centralities function

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

This function summarizes the t-SNE analysis results on centrality measures.

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).

Returns

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.

See Also

Rtsne

Author(s)

Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari