33 lines
1.1 KiB
JavaScript
33 lines
1.1 KiB
JavaScript
/**
|
|
* Calculate the distances by using the numbers, strings and dates.
|
|
* @param {node} source
|
|
* @param {node} target
|
|
* @param {array} properties - the properties of the nodes.
|
|
* @return {number} the distance between source and target nodes.
|
|
*/
|
|
function calculateEuclideanDistance(source, target, properties, normArgs) {
|
|
var sumDiff = 0.0;
|
|
|
|
// console.log(normArgs);
|
|
// Iterate through every column of data
|
|
for (var i = 0; i < properties.length; i++) {
|
|
property = properties[i];
|
|
if (property.toLowerCase() !== "class" && property.toLowerCase() !== "app" && property.toLowerCase() !== "user" && property.toLowerCase() !== "weekday" && property.toLowerCase() !== "type") {
|
|
var s = source[property],
|
|
t = target[property];
|
|
|
|
if (normArgs.sig[i] !== 0) {
|
|
s = (s - normArgs.avg[i]) / (2.0 * normArgs.sig[i]);
|
|
t = (t - normArgs.avg[i]) / (2.0 * normArgs.sig[i]);
|
|
}
|
|
sumDiff += (s - t) * (s - t);
|
|
}
|
|
}
|
|
|
|
// console.log(Math.sqrt(sumDiff)/cols);
|
|
// console.log(cols);
|
|
// sumDiff = Math.sqrt(sumDiff);
|
|
// console.log(sumDiff);
|
|
return Math.sqrt(sumDiff);
|
|
}
|