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.
Pareto front feature selection based on artificial bee colony optimization.Information Sciences, 422:462–479, January 2018
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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.