Package Exports

w-cluster
w-cluster/dist/w-cluster.umd.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (w-cluster) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

w-cluster

A tool for data PCA(Principle Component Analysis) and cluster(K-Means & K-Medoids).

Documentation

To view documentation or get support, visit docs.

Example

To view some examples for more understanding, visit examples:

PCA: ex-PCA.html [source code]

cluster: ex-cluster.html [source code]

cluster with web worker: ex-cluster-webworker.html [source code] * WebWorkers(from blob) does not support IE11.

Installation

Using npm(ES6 module):

Note: w-cluster is mainly dependent on ml-pca, ml-kmeans and k-medoids.

npm i w-cluster

Example for PCA(Principle Component Analysis):

Link: [dev source code]


async function testPCA() {

    let mat = [
        [40, 50, 60],
        [50, 70, 60],
        [80, 70, 90],
        [50, 60, 80]
    ]
    console.log('mat', mat)
    // => mat [ [ 40, 50, 60 ], [ 50, 70, 60 ], [ 80, 70, 90 ], [ 50, 60, 80 ] ]

    let resMat = await WCluster.PCA(mat, { nCompNIPALS: 2 })
    console.log(resMat)
    // => [
    //   [ -1.704002697669786, 0.43087564048799354 ],
    //   [ -0.2509699164590232, -1.1519035967558147 ],
    //   [ 1.9913098008410954, 0.23244503334983269 ],
    //   [ -0.03633718671228592, 0.48858292291798827 ]
    // ]

    let mat2 = [
        [1040, 50, 60],
        [1050, 70, 60],
        [1080, 70, 90],
        [1050, 60, 80]
    ]
    console.log('mat2', mat2)
    // => mat [ [ 1040, 50, 60 ], [ 1050, 70, 60 ], [ 1080, 70, 90 ], [ 1050, 60, 80 ] ]

    let resMat2 = await WCluster.PCA(mat2, { nCompNIPALS: 2 })
    console.log(resMat2)
    // => [
    //   [ -1.704002697669786, 0.43087564048799354 ],
    //   [ -0.2509699164590232, -1.1519035967558147 ],
    //   [ 1.9913098008410954, 0.23244503334983269 ],
    //   [ -0.03633718671228592, 0.48858292291798827 ]
    // ]

    let mat3 = [
        [11040, 50, 60],
        [13050, 70, 60],
        [15080, 70, 90],
        [17050, 60, 80]
    ]
    console.log('mat3', mat3)
    // => mat [ [ 11040, 50, 60 ], [ 13050, 70, 60 ], [ 15080, 70, 90 ], [ 17050, 60, 80 ] ]

    let resMat3 = await WCluster.PCA(mat3, { nCompNIPALS: 2 })
    console.log(resMat3)
    // => [
    //   [ -1.8599655569892897, 0.4908764271508211 ],
    //   [ -0.3950941652793108, -1.0977355294143445 ],
    //   [ 1.3430199944041517, -0.17213692267477554 ],
    //   [ 0.912039727864449, 0.778996024938299 ]
    // ]

}
testPCA()
    .catch((err) => {
        console.log(err)
    })

Example for cluster:

Link: [dev source code]


async function testCluster() {
    let mode = 'k-medoids'

    let mat = [
        [40, 50, 60],
        [50, 70, 60],
        [80, 70, 90],
        [50, 60, 80]
    ]
    console.log('mat', mat)
    // => mat [ [ 40, 50, 60 ], [ 50, 70, 60 ], [ 80, 70, 90 ], [ 50, 60, 80 ] ]

    let resMat = await WCluster.cluster(mat, { mode, kNumber: 2, nCompNIPALS: 2 })
    console.log(JSON.stringify(resMat, null, 2))
    // => {
    //   "keys": null,
    //   "ginds": [
    //     [ 0, 1, 3 ],
    //     [ 2 ]
    //   ],
    //   "gmat": [
    //     [
    //       [ -1.704002697669786, 0.43087564048799354 ],
    //       [ -0.2509699164590232, -1.1519035967558147 ],
    //       [ -0.03633718671228592, 0.48858292291798827 ]
    //     ],
    //     [
    //       [ 1.9913098008410954, 0.23244503334983269 ]
    //     ]
    //   ],
    //   "gltdt": [
    //     [
    //       [ 40, 50, 60 ],
    //       [ 50, 70, 60 ],
    //       [ 50, 60, 80 ]
    //     ],
    //     [
    //       [ 80, 70, 90 ]
    //     ]
    //   ]
    // }

    let mat2 = [
        [1040, 50, 60],
        [1050, 70, 60],
        [1080, 70, 90],
        [1050, 60, 80]
    ]
    console.log('mat2', mat2)
    // => mat [ [ 1040, 50, 60 ], [ 1050, 70, 60 ], [ 1080, 70, 90 ], [ 1050, 60, 80 ] ]

    let resMat2 = await WCluster.cluster(mat2, { mode, kNumber: 2, nCompNIPALS: 2 })
    console.log(JSON.stringify(resMat2, null, 2))
    // => {
    //   "keys": null,
    //   "ginds": [
    //     [ 0, 1, 3 ],
    //     [ 2 ]
    //   ],
    //   "gmat": [
    //     [
    //       [ -1.704002697669786, 0.43087564048799354 ],
    //       [ -0.2509699164590232, -1.1519035967558147 ],
    //       [ -0.03633718671228592, 0.48858292291798827 ]
    //     ],
    //     [
    //       [ 1.9913098008410954, 0.23244503334983269 ]
    //     ]
    //   ],
    //   "gltdt": [
    //     [
    //       [ 1040, 50, 60 ],
    //       [ 1050, 70, 60 ],
    //       [ 1050, 60, 80 ]
    //     ],
    //     [
    //       [ 1080, 70, 90 ]
    //     ]
    //   ]
    // }

    let mat3 = [
        [11040, 50, 60],
        [13050, 70, 60],
        [15080, 70, 90],
        [17050, 60, 80]
    ]
    console.log('mat3', mat3)
    // => mat [ [ 11040, 50, 60 ], [ 13050, 70, 60 ], [ 15080, 70, 90 ], [ 17050, 60, 80 ] ]

    let resMat3 = await WCluster.cluster(mat3, { mode, kNumber: 2, nCompNIPALS: 2 })
    console.log(JSON.stringify(resMat3, null, 2))
    // => {
    //   "keys": null,
    //   "ginds": [
    //     [ 1, 2, 3 ],
    //     [ 0 ]
    //   ],
    //   "gmat": [
    //     [
    //       [ -0.3950941652793108, -1.0977355294143445 ],
    //       [ 1.3430199944041517, -0.17213692267477554 ],
    //       [ 0.912039727864449, 0.778996024938299 ]
    //     ],
    //     [
    //       [ -1.8599655569892897, 0.4908764271508211 ]
    //     ]
    //   ],
    //   "gltdt": [
    //     [
    //       [ 13050, 70, 60 ],
    //       [ 15080, 70, 90 ],
    //       [ 17050, 60, 80 ]
    //     ],
    //     [
    //       [ 11040, 50, 60 ]
    //     ]
    //   ]
    // }

    let ltdt = [
        { name: 'Cameron', a: 40, b: 50, c: 60 },
        { name: 'Buckley', a: 50, b: 70, c: 60 },
        { name: 'Paul', a: 80, b: 70, c: 90 },
        { name: 'Fawcett', a: 50, b: 60, c: 80 },
    ]
    console.log('ltdt', ltdt)
    // => ltdt [
    //     { name: 'Cameron', a: 40, b: 50, c: 60 },
    //     { name: 'Buckley', a: 50, b: 70, c: 60 },
    //     { name: 'Paul', a: 80, b: 70, c: 90 },
    //     { name: 'Fawcett', a: 50, b: 60, c: 80 }
    // ]

    let resLtdt = await WCluster.cluster(ltdt, { mode, kNumber: 2, nCompNIPALS: 2 })
    console.log(JSON.stringify(resLtdt, null, 2))
    // => {
    //   "keys": [ "a", "b", "c" ],
    //   "ginds": [
    //     [ 0, 1, 3 ],
    //     [ 2 ]
    //   ],
    //   "gmat": [
    //     [
    //       [ -1.704002697669786, 0.43087564048799354 ],
    //       [ -0.2509699164590232, -1.1519035967558147 ],
    //       [ -0.03633718671228592, 0.48858292291798827 ]
    //     ],
    //     [
    //       [ 1.9913098008410954, 0.23244503334983269 ]
    //     ]
    //   ],
    //   "gltdt": [
    //     [
    //       { "name": "Cameron", "a": 40, "b": 50, "c": 60 },
    //       { "name": "Buckley", "a": 50, "b": 70, "c": 60 },
    //       { "name": "Fawcett", "a": 50, "b": 60, "c": 80 }
    //     ],
    //     [
    //       { "name": "Paul", "a": 80, "b": 70, "c": 90 }
    //     ]
    //   ]
    // }

}
testCluster()
    .catch((err) => {
        console.log(err)
    })

In a browser(UMD module):

Note: w-cluster does not dependent on any package.

[Necessary] Add script for w-cluster.


<!-- for basic -->
<script src="https://cdn.jsdelivr.net/npm/w-cluster@1.0.20/dist/w-cluster.umd.js"></script>

<!-- for web workers -->
<script src="https://cdn.jsdelivr.net/npm/w-cluster@1.0.20/dist/w-cluster.wk.umd.js"></script>