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Log Book — Guide to Distance Measuring Approaches for K- Means Clustering | by dearC | Towards Data Science
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Frank Nielsen on X: "Curved Mahalanobis distances generalize ordinary Euclidean Mahalanobis distance: -Non-homogeneous space with underlying projective geometry of type Cayley-Klein (domain=ellipse instead of disk) -Useful for metric learning methods ...
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Faster implementation of Mahalanobis distance using tensorflow | by Anuj Arora | Dive into ML/AI | Medium
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