Geary's C


Geary's C is a statistical measure used to assess the similarity between two sets of data. It is calculated by dividing the difference between the means of the two sets by the standard deviation of the combined sets. Geary's C is commonly used in spatial statistics to measure spatial autocorrelation, which is the degree to which nearby observations are similar to each other. In data science, Geary's C can be used to identify patterns of similarity or dissimilarity between different variables or features in a dataset. It can also be used to identify clusters or groups of similar observations. Geary's C values range from 0 to 2, with values close to 1 indicating a high degree of similarity and values close to 0 indicating a low degree of similarity.


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