Distance Metrics for Machine Learning — 15 Examples With Code

Author(s): Carla Martins

Originally published on Towards AI.

Useful to know before you jump into ML

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If you have read some of my previous articles on unsupervised machine learning and clustering methods, you found something in common in all these articles: all of them mention some kind of distance metrics between the points (or observations) in the dataset.

It is a distance measure that calculates a numerical score that represents how similar two items are in a specific field or context. Typically, these items are represented as rows of information describing a particular subject or occurrence.

Because some algorithms are built based… Read the full blog for free on Medium.

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Published via Towards AI