In your role as a Data Scientist at a tech startup, you're tasked with developing a predictive model for customer segmentation. Your mentor suggests using a lazy learning algorithm due to its advantages in scenarios where the data distribution is not well understood upfront and computational resources are limited. Given these constraints, which of the following algorithms should you consider implementing? (Choose two options if E is available, otherwise choose one.)