greatest distribution of samples
OK, this may be a little tricky to explain so bear with me.
Imagine a 'class' that contains samples. Each sample may, or may not, be related to other samples in different classes.
I have a number of bar charts - one for each 'class' - that show how many samples is related to other samples in a different class.
Data looks like this
Class 1 data:
and so on
What the above tells you is that for class 1, there are 345 samples that are not related to any samples in a different class, 34 samples that are related to 2 samples in a different class and so on ...
I need to find a method that tells me which class has samples that are related to the greatest number of samples from other classes and also get a general feeling for the distribution of samples being related to other samples in different classes for each graph.
I considered standard deviation but have a feeling that won't tell me much.
Thanks a lot for any help