Alternatives to box plots for comparing clustering results

In my research paper, I wish to compare the accuracy of 2 clustering algorithms. I have conducted clustering using these 2 algortihms on 300 proprietary datasets. I use adjusted rand index as the evaluation metric. Since, clustering has been conducted 300 times, I have 300 pairs of adjusted rand indexes to be compared against each other. I need a method to graphically show the performance of both algorithms and compare them. Due to space constraint, I could not use barcharts. Another alternative is to use box plots. I have some apprehension in using box plots to compare clustering algorithms' performances in academic research papers as I have not seen many papers using this approach. My questions:

1. Is it OK to use box plots in this scenario in academic papers?
2. If not, what alternative plots/ techniques could be used to graphically compare the 2 algorithms? (NOTE: I just want to compare the adj. rand indexes and NOT the time consumed or algorithmic complexity of the 2 algorithms)
3. It will be helpful if one could refer papers where similar comparisons are done.

Thanks.