AAI_2025_Capstone_Chronicles_Combined

Breast Tumor Classification Using Quantum Neural Networks

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Figure 2

The features from Figure 1 normalized.

Several of the features are closely related to each other by definition. For example, the

mean area of lobes and the worst area. This is even more apparent when looking at the

correlation matrix in Figure 3. The point of this figure is not the details of specific correlations

between features, but rather the fact that there are hotspots in the correlation matrix that show

multiple variables closely correlated. This of course opens the opportunity for feature selection

to reduce the features utilized.

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