How to classify an input value into pre-existing cluster center?

Hi

I am working on fault detection and diagnosis code. I have training data for both fault free and all the faulty conditions.In 2D, I have produced a center and and a radius for each cluster "fault". Now I am trying to write the code for the detection and diagnosis stage, where and input value is supposed to classified to into which cluster they belong. I tried using functions like fcm "Fuzzy c-mean" but this function build the clusters first.

How can I do a classification preferably fuzzy classification so that the outcome would be a membership grade between 0-1 instead of having 0 or 1 in hard classification?

The center of each cluster is calculated based on the mean value of the training data for each cluster. The radius is calculated based on the farthest distance of between the center of each cluster any of the point that belong to that cluster.

So now I already have the center and the radius for each cluster. Does any body know how can I do the classification procedure?

Thanks in advance!