{"_id":"ml-euclidean-distance","_rev":"12-1cc0e702547fda33cabe8a0be94b3377","name":"ml-euclidean-distance","description":"Compute the euclidean distance between two vectors","dist-tags":{"latest":"1.0.0"},"versions":{"1.0.0":{"name":"ml-euclidean-distance","version":"1.0.0","description":"Compute the euclidean distance between two vectors","main":"euclidean.js","scripts":{"test":"mocha --require should --reporter mocha-better-spec-reporter"},"repository":{"type":"git","url":"git+https://github.com/mljs/euclidean-distance.git"},"keywords":["euclidean","squared","distance","metric","vector","data","mining","datamining","machine","learning"],"author":{"name":"Michaël Zasso"},"license":"MIT","bugs":{"url":"https://github.com/mljs/euclidean-distance/issues"},"homepage":"https://github.com/mljs/euclidean-distance#readme","devDependencies":{"mocha":"^2.2.5","mocha-better-spec-reporter":"^2.1.1","should":"^7.0.2"},"gitHead":"ee0c55e6cc298374f5c53e42bf96879259c7a835","_id":"ml-euclidean-distance@1.0.0","_shasum":"908f01514fbacfb7b54954b5e7d82553478fe636","_from":".","_npmVersion":"2.12.1","_nodeVersion":"2.3.4","_npmUser":{"name":"targos","email":"targos@live.com"},"dist":{"shasum":"908f01514fbacfb7b54954b5e7d82553478fe636","tarball":"https://registry.npmjs.org/ml-euclidean-distance/-/ml-euclidean-distance-1.0.0.tgz","integrity":"sha512-lqL667Xd4xZPnUwMZmfnUc/DA+xk1SycdnAUhChAZt/67WkpBqLVrztQz9SmN6ZuPs2sOExXi0VYHIiUH6ID0w==","signatures":[{"keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA","sig":"MEQCICgUzvaKrs/90ROOdJmdcQd3RHlJ9NEP7Gh5usSJo3I6AiBFVeT0wAX0fjATPzwmbOE/bbM4dVR3FdStjB1tp+bj+g=="}]},"maintainers":[{"name":"targos","email":"targos@live.com"}],"deprecated":"WARNING: This project has been renamed to ml-distance-euclidean.","directories":{}}},"readme":"# euclidean-distance\n\n  [![NPM version][npm-image]][npm-url]\n  [![build status][travis-image]][travis-url]\n  [![npm download][download-image]][download-url]\n\nCompute the euclidean distance between two vectors\n\n## Installation\n\n`$ npm install ml-euclidean-distance`\n\n## Usage\n\n### euclidean(p, q)\n\nReturns the [Euclidean distance](https://en.wikipedia.org/wiki/Euclidean_distance#n_dimensions) between vectors p and q.\n\n### euclidean.squared(p, q)\n\nReturns the [squared Euclidean distance](https://en.wikipedia.org/wiki/Euclidean_distance#Squared_Euclidean_distance) between vectors p and q.\n\n## License\n\n  [MIT](./LICENSE)\n\n[npm-image]: https://img.shields.io/npm/v/ml-euclidean-distance.svg?style=flat-square\n[npm-url]: https://npmjs.org/package/ml-euclidean-distance\n[travis-image]: https://img.shields.io/travis/mljs/euclidean-distance/master.svg?style=flat-square\n[travis-url]: https://travis-ci.org/mljs/euclidean-distance\n[download-image]: https://img.shields.io/npm/dm/ml-euclidean-distance.svg?style=flat-square\n[download-url]: https://npmjs.org/package/ml-euclidean-distance\n","maintainers":[{"email":"bot+npm-mljs@zakodium.com","name":"mljs-bot"},{"email":"kostro.d@gmail.com","name":"stropitek"},{"email":"targos+npm@protonmail.com","name":"targos"},{"email":"lpatiny@gmail.com","name":"lpatiny"}],"time":{"modified":"2022-06-19T23:43:13.936Z","created":"2015-07-11T18:51:04.107Z","1.0.0":"2015-07-11T18:51:04.107Z"},"homepage":"https://github.com/mljs/euclidean-distance#readme","keywords":["euclidean","squared","distance","metric","vector","data","mining","datamining","machine","learning"],"repository":{"type":"git","url":"git+https://github.com/mljs/euclidean-distance.git"},"author":{"name":"Michaël Zasso"},"bugs":{"url":"https://github.com/mljs/euclidean-distance/issues"},"license":"MIT","readmeFilename":"README.md"}