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tool for data PCA(Principle Component Analysis) and cluster(K-Means & K-Medoids).","maintainers":[{"name":"semisphere","email":"firsemisphere@gmail.com"}],"readme":"# w-cluster\r\nA tool for data PCA(Principle Component Analysis) and cluster(K-Means & K-Medoids).\r\n\r\n![language](https://img.shields.io/badge/language-JavaScript-orange.svg) \r\n[![npm version](http://img.shields.io/npm/v/w-cluster.svg?style=flat)](https://npmjs.org/package/w-cluster) \r\n[![license](https://img.shields.io/npm/l/w-cluster.svg?style=flat)](https://npmjs.org/package/w-cluster) \r\n[![npm download](https://img.shields.io/npm/dt/w-cluster.svg)](https://npmjs.org/package/w-cluster) \r\n[![npm download](https://img.shields.io/npm/dm/w-cluster.svg)](https://npmjs.org/package/w-cluster) \r\n[![jsdelivr download](https://img.shields.io/jsdelivr/npm/hm/w-cluster.svg)](https://www.jsdelivr.com/package/npm/w-cluster)\r\n\r\n## Documentation\r\nTo view documentation or get support, visit [docs](https://yuda-lyu.github.io/w-cluster/global.html).\r\n\r\n## Example\r\nTo view some examples for more understanding, visit examples:\r\n\r\n> **PCA:** [ex-PCA.html](https://yuda-lyu.github.io/w-cluster/examples/ex-PCA.html) [[source code](https://github.com/yuda-lyu/w-cluster/blob/master/docs/examples/ex-PCA.html)]\r\n\r\n> **cluster:** [ex-cluster.html](https://yuda-lyu.github.io/w-cluster/examples/ex-cluster.html) [[source code](https://github.com/yuda-lyu/w-cluster/blob/master/docs/examples/ex-cluster.html)]\r\n\r\n> **cluster with web worker:** [ex-cluster-webworker.html](https://yuda-lyu.github.io/w-cluster/examples/ex-cluster-webworker.html) [[source code](https://github.com/yuda-lyu/w-cluster/blob/master/docs/examples/ex-cluster-webworker.html)] * WebWorkers(from blob) does not support IE11.\r\n\r\n## Installation\r\n\r\n### Using npm(ES6 module):\r\n```alias\r\nnpm i w-cluster\r\n```\r\n\r\n#### Example for PCA(Principle Component Analysis):\r\n> **Link:** [[dev source code](https://github.com/yuda-lyu/w-cluster/blob/master/g-PCA.mjs)]\r\n```alias\r\n\r\nasync function testPCA() {\r\n\r\n    let mat = [\r\n        [40, 50, 60],\r\n        [50, 70, 60],\r\n        [80, 70, 90],\r\n        [50, 60, 80]\r\n    ]\r\n    console.log('mat', mat)\r\n    // => mat [ [ 40, 50, 60 ], [ 50, 70, 60 ], [ 80, 70, 90 ], [ 50, 60, 80 ] ]\r\n\r\n    let resMat = await WCluster.PCA(mat, { nCompNIPALS: 2 })\r\n    console.log(resMat)\r\n    // => [\r\n    //   [ -1.704002697669786, 0.43087564048799354 ],\r\n    //   [ -0.2509699164590232, -1.1519035967558147 ],\r\n    //   [ 1.9913098008410954, 0.23244503334983269 ],\r\n    //   [ -0.03633718671228592, 0.48858292291798827 ]\r\n    // ]\r\n\r\n    let mat2 = [\r\n        [1040, 50, 60],\r\n        [1050, 70, 60],\r\n        [1080, 70, 90],\r\n        [1050, 60, 80]\r\n    ]\r\n    console.log('mat2', mat2)\r\n    // => mat [ [ 1040, 50, 60 ], [ 1050, 70, 60 ], [ 1080, 70, 90 ], [ 1050, 60, 80 ] ]\r\n\r\n    let resMat2 = await WCluster.PCA(mat2, { nCompNIPALS: 2 })\r\n    console.log(resMat2)\r\n    // => [\r\n    //   [ -1.704002697669786, 0.43087564048799354 ],\r\n    //   [ -0.2509699164590232, -1.1519035967558147 ],\r\n    //   [ 1.9913098008410954, 0.23244503334983269 ],\r\n    //   [ -0.03633718671228592, 0.48858292291798827 ]\r\n    // ]\r\n\r\n    let mat3 = [\r\n        [11040, 50, 60],\r\n        [13050, 70, 60],\r\n        [15080, 70, 90],\r\n        [17050, 60, 80]\r\n    ]\r\n    console.log('mat3', mat3)\r\n    // => mat [ [ 11040, 50, 60 ], [ 13050, 70, 60 ], [ 15080, 70, 90 ], [ 17050, 60, 80 ] ]\r\n\r\n    let resMat3 = await WCluster.PCA(mat3, { nCompNIPALS: 2 })\r\n    console.log(resMat3)\r\n    // => [\r\n    //   [ -1.8599655569892897, 0.4908764271508211 ],\r\n    //   [ -0.3950941652793108, -1.0977355294143445 ],\r\n    //   [ 1.3430199944041517, -0.17213692267477554 ],\r\n    //   [ 0.912039727864449, 0.778996024938299 ]\r\n    // ]\r\n\r\n}\r\ntestPCA()\r\n    .catch((err) => {\r\n        console.log(err)\r\n    })\r\n\r\n```\r\n\r\n#### Example for cluster:\r\n> **Link:** [[dev source code](https://github.com/yuda-lyu/w-cluster/blob/master/g-cluster.mjs)]\r\n```alias\r\n\r\nasync function testCluster() {\r\n    let mode = 'k-medoids'\r\n\r\n    let mat = [\r\n        [40, 50, 60],\r\n        [50, 70, 60],\r\n        [80, 70, 90],\r\n        [50, 60, 80]\r\n    ]\r\n    console.log('mat', mat)\r\n    // => mat [ [ 40, 50, 60 ], [ 50, 70, 60 ], [ 80, 70, 90 ], [ 50, 60, 80 ] ]\r\n\r\n    let resMat = await WCluster.cluster(mat, { mode, kNumber: 2, nCompNIPALS: 2 })\r\n    console.log(JSON.stringify(resMat, null, 2))\r\n    // => {\r\n    //   \"keys\": null,\r\n    //   \"ginds\": [\r\n    //     [ 0, 1, 3 ],\r\n    //     [ 2 ]\r\n    //   ],\r\n    //   \"gmat\": [\r\n    //     [\r\n    //       [ -1.704002697669786, 0.43087564048799354 ],\r\n    //       [ -0.2509699164590232, -1.1519035967558147 ],\r\n    //       [ -0.03633718671228592, 0.48858292291798827 ]\r\n    //     ],\r\n    //     [\r\n    //       [ 1.9913098008410954, 0.23244503334983269 ]\r\n    //     ]\r\n    //   ],\r\n    //   \"gltdt\": [\r\n    //     [\r\n    //       [ 40, 50, 60 ],\r\n    //       [ 50, 70, 60 ],\r\n    //       [ 50, 60, 80 ]\r\n    //     ],\r\n    //     [\r\n    //       [ 80, 70, 90 ]\r\n    //     ]\r\n    //   ]\r\n    // }\r\n\r\n    let mat2 = [\r\n        [1040, 50, 60],\r\n        [1050, 70, 60],\r\n        [1080, 70, 90],\r\n        [1050, 60, 80]\r\n    ]\r\n    console.log('mat2', mat2)\r\n    // => mat [ [ 1040, 50, 60 ], [ 1050, 70, 60 ], [ 1080, 70, 90 ], [ 1050, 60, 80 ] ]\r\n\r\n    let resMat2 = await WCluster.cluster(mat2, { mode, kNumber: 2, nCompNIPALS: 2 })\r\n    console.log(JSON.stringify(resMat2, null, 2))\r\n    // => {\r\n    //   \"keys\": null,\r\n    //   \"ginds\": [\r\n    //     [ 0, 1, 3 ],\r\n    //     [ 2 ]\r\n    //   ],\r\n    //   \"gmat\": [\r\n    //     [\r\n    //       [ -1.704002697669786, 0.43087564048799354 ],\r\n    //       [ -0.2509699164590232, -1.1519035967558147 ],\r\n    //       [ -0.03633718671228592, 0.48858292291798827 ]\r\n    //     ],\r\n    //     [\r\n    //       [ 1.9913098008410954, 0.23244503334983269 ]\r\n    //     ]\r\n    //   ],\r\n    //   \"gltdt\": [\r\n    //     [\r\n    //       [ 1040, 50, 60 ],\r\n    //       [ 1050, 70, 60 ],\r\n    //       [ 1050, 60, 80 ]\r\n    //     ],\r\n    //     [\r\n    //       [ 1080, 70, 90 ]\r\n    //     ]\r\n    //   ]\r\n    // }\r\n\r\n    let mat3 = [\r\n        [11040, 50, 60],\r\n        [13050, 70, 60],\r\n        [15080, 70, 90],\r\n        [17050, 60, 80]\r\n    ]\r\n    console.log('mat3', mat3)\r\n    // => mat [ [ 11040, 50, 60 ], [ 13050, 70, 60 ], [ 15080, 70, 90 ], [ 17050, 60, 80 ] ]\r\n\r\n    let resMat3 = await WCluster.cluster(mat3, { mode, kNumber: 2, nCompNIPALS: 2 })\r\n    console.log(JSON.stringify(resMat3, null, 2))\r\n    // => {\r\n    //   \"keys\": null,\r\n    //   \"ginds\": [\r\n    //     [ 1, 2, 3 ],\r\n    //     [ 0 ]\r\n    //   ],\r\n    //   \"gmat\": [\r\n    //     [\r\n    //       [ -0.3950941652793108, -1.0977355294143445 ],\r\n    //       [ 1.3430199944041517, -0.17213692267477554 ],\r\n    //       [ 0.912039727864449, 0.778996024938299 ]\r\n    //     ],\r\n    //     [\r\n    //       [ -1.8599655569892897, 0.4908764271508211 ]\r\n    //     ]\r\n    //   ],\r\n    //   \"gltdt\": [\r\n    //     [\r\n    //       [ 13050, 70, 60 ],\r\n    //       [ 15080, 70, 90 ],\r\n    //       [ 17050, 60, 80 ]\r\n    //     ],\r\n    //     [\r\n    //       [ 11040, 50, 60 ]\r\n    //     ]\r\n    //   ]\r\n    // }\r\n\r\n    let ltdt = [\r\n        { name: 'Cameron', a: 40, b: 50, c: 60 },\r\n        { name: 'Buckley', a: 50, b: 70, c: 60 },\r\n        { name: 'Paul', a: 80, b: 70, c: 90 },\r\n        { name: 'Fawcett', a: 50, b: 60, c: 80 },\r\n    ]\r\n    console.log('ltdt', ltdt)\r\n    // => ltdt [\r\n    //     { name: 'Cameron', a: 40, b: 50, c: 60 },\r\n    //     { name: 'Buckley', a: 50, b: 70, c: 60 },\r\n    //     { name: 'Paul', a: 80, b: 70, c: 90 },\r\n    //     { name: 'Fawcett', a: 50, b: 60, c: 80 }\r\n    // ]\r\n\r\n    let resLtdt = await WCluster.cluster(ltdt, { mode, kNumber: 2, nCompNIPALS: 2 })\r\n    console.log(JSON.stringify(resLtdt, null, 2))\r\n    // => {\r\n    //   \"keys\": [ \"a\", \"b\", \"c\" ],\r\n    //   \"ginds\": [\r\n    //     [ 0, 1, 3 ],\r\n    //     [ 2 ]\r\n    //   ],\r\n    //   \"gmat\": [\r\n    //     [\r\n    //       [ -1.704002697669786, 0.43087564048799354 ],\r\n    //       [ -0.2509699164590232, -1.1519035967558147 ],\r\n    //       [ -0.03633718671228592, 0.48858292291798827 ]\r\n    //     ],\r\n    //     [\r\n    //       [ 1.9913098008410954, 0.23244503334983269 ]\r\n    //     ]\r\n    //   ],\r\n    //   \"gltdt\": [\r\n    //     [\r\n    //       { \"name\": \"Cameron\", \"a\": 40, \"b\": 50, \"c\": 60 },\r\n    //       { \"name\": \"Buckley\", \"a\": 50, \"b\": 70, \"c\": 60 },\r\n    //       { \"name\": \"Fawcett\", \"a\": 50, \"b\": 60, \"c\": 80 }\r\n    //     ],\r\n    //     [\r\n    //       { \"name\": \"Paul\", \"a\": 80, \"b\": 70, \"c\": 90 }\r\n    //     ]\r\n    //   ]\r\n    // }\r\n\r\n}\r\ntestCluster()\r\n    .catch((err) => {\r\n        console.log(err)\r\n    })\r\n\r\n```\r\n\r\n### In a browser(UMD module):\r\n\r\nAdd script for w-cluster.\r\n```alias\r\n\r\n<!-- for basic -->\r\n<script src=\"https://cdn.jsdelivr.net/npm/w-cluster@1.0.45/dist/w-cluster.umd.js\"></script>\r\n\r\n<!-- for web workers -->\r\n<script src=\"https://cdn.jsdelivr.net/npm/w-cluster@1.0.45/dist/w-cluster.wk.umd.js\"></script>\r\n\r\n```\r\n","readmeFilename":"README.md"}