knn-js
v1.0.0
Published
knn algorithm in javascript
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knn-js
- Clickable/Interactive k-NN algorithm in javascript
- It can be integrated into a web application
- It is based on d3
Setup
Include the libraries
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="../dist/knnjs.min.js"></script>
<link rel="stylesheet" href="../dist/knnjs.min.css" />
CDN - UNPKG
- TODO
Usage
Hello World example
Create an element to hold the table
<div id="myknn"></div>
Turn the div element into a d3 scatter chart with some simple javascript
var myknn = knnjs.knn();
myknn.init(document.getElementById("myknn"), {
selectedDataSet: [
{age: 37, year_of_operation: 63, positive_axillary_nodes: 0, survival_status: 1},
{age: 43, year_of_operation: 58, positive_axillary_nodes: 52, survival_status: 2},
{age: 43, year_of_operation: 59, positive_axillary_nodes: 2, survival_status: 2},
{age: 43, year_of_operation: 63, positive_axillary_nodes: 14, survival_status: 1},
{age: 43, year_of_operation: 64, positive_axillary_nodes: 2, survival_status: 1},
{age: 46, year_of_operation: 65, positive_axillary_nodes: 20, survival_status: 2},
{age: 48, year_of_operation: 66, positive_axillary_nodes: 0, survival_status: 1},
{age: 50, year_of_operation: 61, positive_axillary_nodes: 0, survival_status: 1},
{age: 54, year_of_operation: 62, positive_axillary_nodes: 0, survival_status: 1},
{age: 58, year_of_operation: 61, positive_axillary_nodes: 2, survival_status: 1}
],
colorMap: {
"1": "#EE7733",
"2": "#0077BB"
},
selectedColumns: ["age", "year_of_operation"],
categoryName: "survival_status"
});
Take a look at examples/hello.html for more information
Work with the chart table
Include the libraries
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="../dist/knnjs.min.js"></script>
<script src="../dist/charttable.min.js"></script>
<link rel="stylesheet" href="../dist/knnjs.min.css"></link>
<link rel="stylesheet" href="../dist/charttable.min.css"></link>
Create div elements to hold the table
<div id="mytable"></div>
<div id="myknn"></div>
Work with chart table
const mytable = charttable.table();
const myknn = knnjs.knn();
const tol_vibrant = ["#EE7733", "#0077BB", "#33BBEE", "#EE3377", "#CC3311", "#009988"];
mytable.initTbl(document.getElementById("mytable"), {
colors: tol_vibrant,
minSelectedRow2Show: 4,
minSelectedCol2Show: 2,
height: 540,
onSelect: function(data) {
myknn.init(document.getElementById("myknn"), {
colorMap: data.selectedColorMap,
selectedDataSet: data.selectedRows,
selectedColumns: data.selectedColumns,
categoryName: data.categoryName
});
}
});
mytable.showDataset([
{age: 30, year_of_operation: 65, positive_axillary_nodes: 0, survival_status: 1},
{age: 38, year_of_operation: 66, positive_axillary_nodes: 0, survival_status: 1},
{age: 42, year_of_operation: 59, positive_axillary_nodes: 0, survival_status: 2},
{age: 49, year_of_operation: 63, positive_axillary_nodes: 0, survival_status: 2},
{age: 49, year_of_operation: 61, positive_axillary_nodes: 0, survival_status: 1},
{age: 55, year_of_operation: 66, positive_axillary_nodes: 18, survival_status: 1},
{age: 56, year_of_operation: 60, positive_axillary_nodes: 0, survival_status: 1},
{age: 61, year_of_operation: 65, positive_axillary_nodes: 0, survival_status: 2},
{age: 61, year_of_operation: 59, positive_axillary_nodes: 0, survival_status: 1},
{age: 64, year_of_operation: 66, positive_axillary_nodes: 0, survival_status: 1}
]);
TODO
- use
webpack
to build - publish to npm and
CDN - UNPKG
- remove
charttable.min.js
once we can publish to npm