I am a student in finance and I am working on my thesis project. I am interested in doing a clustering to stock time series. I first read the paper 'Time-series clustering – A decade review' from Saeed Aghabozorgi, Ali Seyed Shirkhorshidi n, Teh Ying Wah on 'Information Systems'. But this paper provided too many methods and algos and many other choices such as representation method(Does stock time series needs to be transformed? I am thinking daily data of several years of the stocks in S&P 500, that's not a lot of data), Similarity measure approaches, prototypes,etc. And now I can't really decide what to do because I don't have experience on doing machine learning and right now I need to start somewhere. So anyone have indications on what to do next or which paper should I read next?