I can't seem to get my head around "iterations" in Adaboost.
Are they analogous to weak classifiers that are used for Boosting?
I've seen many examples of Adaboost where a programmers use a
- Single Classifier multiple Times (initialized with different parameters resulting in different classifiers with different parameters).
- Multiple Weak Classifiers.
How does "iterations" fit in with above mentioned cases?