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.
A Cluster Separation Measure.Pat- tern Analysis and Machine Intelligence, IEEE Transactions on, PAMI- 1:224–227, May 1979
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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.