Harmonic Mean

Harmonic Mean is a statistical measure that calculates the average of a set of numbers by dividing the number of observations by the reciprocal of each number in the set. In other words, it is the reciprocal of the arithmetic mean of the reciprocals of the given set of observations. Harmonic Mean is used in Data Science to calculate the average of rates or ratios, such as speed, time, or frequency. It is particularly useful when dealing with skewed data or outliers, as it gives more weight to smaller values in the set. Harmonic Mean is also used in Machine Learning algorithms, such as k-Nearest Neighbors and Collaborative Filtering, to calculate similarity between data points or users.
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