Fig. 5
From: Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning
Intrinsic dimension estimates for the Wisconsin Breast Cancer Dataset using a QCML estimator of dimension \(N=16\) and quantum fluctuation weight \(w=0.75\) in the loss function. (a) Spectral gap with zero noise. Outliers omitted for clarity. (b) Intrinsic dimension estimates for different estimators as function of noise. For the QCML estimator, a global estimate of dimension is obtained by taking the mode of the local estimates.
