pub enum Metric {
Correlation,
ChiSquare,
Intersection,
Hellinger,
}
Expand description
The distance metric choices for histogram comparisons
 = \sum _I \frac{\left(H_1(I)-H_2(I)\right)^2}{H_1(I)})
First histogram may not have empty bins
 = \sqrt{1 - \frac{1}{\sqrt{\int{H_1} \int{H_2}}} \sum_I \sqrt{H_1(I) \cdot H_2(I)}})
Both histograms need to be normalizable
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