You work for a large financial institution that wants to identify undervalued stocks. To do so$,$ you feed decades of financial information into an artificial neural network to create clusters of stocks.Then your data science team tries to find stocks in those clusters that substantially increased in value. Your data science team hopes to find stocks in the same cluster that may also gain value.What type of machine learning are you using?generative artificial intelligencesupervised machine learningunsupervised learningreinforcement learning