Association rule mining and SOM
I’m studying for my Computer Science class and don’t understand how to answer this. Can you help me study?
Select and critique an appropriate clustering algorithm for building a model using un-supervised learning. Your answer should include either a description or pseudo-code of how the algorithm works, input and output limitations, pros, cons, hyper-parameters that require optimisation and types of suitable applications.
Identify key challenges in Association Rule Mining and contrast how the Apriori and FP-Tree algorithms address these challenges
Describe a use case for a SOM (self-organizing map) in speech recognition