Adjusted cosine similarity

Adjusted cosine similarity (distance) - similarity that accounts for different baselines in vectors

$CosSim=\frac{{\sum }_{i=1}^n(x_i-\bar{x})(y_i-\bar{y})}{\sqrt{{\sum }_{i=1}^n(x_i-\bar{x}{)}^2}\sqrt{{\sum }_{i=1}^n(y_i-\bar{y}{)}^2}}$

$\bar{x}$ - average value from vector $X$

$\bar{y}$ - average value from vector $Y$