The Mahalanobis distance is a measure of the distance between a point and a probability distribution , introduced by P. C. Mahalanobis in 1936. [1] The mathematical details of Mahalanobis distance first …

The Mahalanobis distance measures distance relative to the centroid — a base or central point which can be thought of as an overall mean for multivariate data.

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May 14, 2025 · The Mahalanobis distance is a robust multivariate distance metric that transcends the limitations of the Euclidean distance by accounting for variable correlations and variations.

Mahalanobis distance is a multivariate distance metric that measures how far a point is from the center of a distribution, taking into account correlations between variables.

P.C. Mahalanobis, Indian statistician who devised the Mahalanobis distance and was instrumental in formulating India’s strategy for industrialization in the Second Five-Year Plan (1956–61).

Mar 19, 2023 · A father figure in Indian Statistics, Mahalanobis is well-known for his $D^2$ statistic and pioneering contributions to large scale sample surveys.

Apr 12, 2025 · The Mahalanobis Distance is a measure of distance that captures the essence of multivariate data like no other. It's not just about how far two points are from each other, but also how …

Mahalanobis distance is a statistical measure used to determine the similarity between two data points in a multidimensional space. It is instrumental in data analysis, pattern recognition, and classification …

He is best remembered for the Mahalanobis distance, a statistical measure, and for being one of the members of the first Planning Commission of free India. He made pioneering studies in …