Challenges of Clustering Algorithms and New Use Cases in Energy Industry

This chapter explores the challenges of using clustering algorithms in machine learning and discusses the option of using scikit-learn instead of Spark ML. It also delves into incorporating scikit-learn models into a distributed workflow using pandas UDF and explores new use cases and features in the context of energy providers and smart meters.