The Curse of Dimensionality and PCA: Why More Features Can Hurt You
中文摘要
“维度灾难”指出过多特征损害机器学习模型性能。它解释了为何增加数据维度反而可能导致更差结果，是ML重要挑战。
English Summary
The curse of dimensionality explains how too many features can degrade ML model performance. It shows why more data dimensions can surprisingly hurt outcomes.
Original Excerpt
If you’ve worked with machine learning for any length of time, you’ve probably heard someone say “the curse of dimensionality” with the… Continue reading on Medium »