Purity section in too-many-cells about too-many-cells HOT 4 CLOSED

The benchmarking is not included in the too-many-cells tool itself. Although, you can always use the diversity entry point to get the diversity of labels for the leaf nodes to see if they are close to 1. For the manuscript, the purity, entropy, and NMM were calculated post-clustering for all algorithms (to be consistent).

from too-many-cells.

It seems to 'diversity' quantitate the effective number of cell states within a population, also can be used to compare the accuracy of clustering algorithms, Is my understanding right? I read your paper and the help document about too-many-cells, But I don't understand how 'diversity' is used to measure accuracy of clustering. It would be my pleasure if you could tell me something about it, or How can I supplement this knowledge?

from too-many-cells.

Yes, diversity can be used to compare. Diversity of order 1, for instance, is a transformation of Shannon entropy which translates it to a more biological context. I recommend reading https://onlinelibrary.wiley.com/doi/10.1111/j.2006.0030-1299.14714.x to understand the important distinction. We used more traditional comparison measures in the paper to make it more familiar. If you want to use another measure, however, you would have to calculate it yourself from the clustering output, although too-many-cells is more about separating than stopping, as the visualization can guide your chosen cluster size.

from too-many-cells.

I studied the literature you recommended and got a preliminary understanding of relationship about diversity and entropy.
Thanks a lot for your help!

from too-many-cells.