The Art of Feature Partitioning

This book systematically explores the art and science of Feature Set Partitioning within the MEL framework. We begin by establishing fundamental concepts in Part I: Foundations where we examine the mathematical underpinnings of partitioning ensemble learning and multi-view learning. Part II: Feature Set Partitioning Method Categories constitutes the core of our exploration. Part III: Applications & Challenges bridges theory with practice examining real-world implementations across diverse domains.