On synthetic data, PCA reconstruction loss yields compact feature subsets whose supervised test accuracy matches direct optimization, while silhouette score strongly biases toward trivial low-cardinality solutions.
Multiobjectivization of Single-Objective Optimization in Evolutionary Computation: A Survey.IEEE Transactions on Cyber- netics, 53(6):3702–3715, June 2023
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Objective-Induced Bias and Search Dynamics in Multiobjective Unsupervised Feature Selection
On synthetic data, PCA reconstruction loss yields compact feature subsets whose supervised test accuracy matches direct optimization, while silhouette score strongly biases toward trivial low-cardinality solutions.