Description Usage Arguments Value Examples
View source: R/model_performance.R
Perplexity can be seen as a measure of how well a provided set of cluster assignments fit the data being clustered.
1 | perplexity(counts, celda.mod, new.counts = NULL)
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counts |
Integer matrix. Rows represent features and columns represent cells. This matrix should be the same as the one used to generate 'celda.mod'. |
celda.mod |
Celda object of class "celda_C", "celda_G" or "celda_CG". |
new.counts |
A new counts matrix used to calculate perplexity. If NULL, perplexity will be calculated for the 'counts' matrix. Default NULL. |
Numeric. The perplexity for the provided count data and model.
1 | perplexity = perplexity(celda.CG.sim$counts, celda.CG.mod)
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