A 4.2.3 Dimensionality Reduction
A4.2.3 describes the importance of dimensionality reduction to mitigate the "curse of dimensionality". This "curse" involves issues like overfitting, high computational complexity, data sparsity, impact on distance metrics, data visualisation challenges, and increased memory usage. The core aim is to reduce data variables while preserving essential aspects. By the end of this lesson, students will be able to: Link to...