426 lines
10 KiB
JavaScript
426 lines
10 KiB
JavaScript
// Get the width and heigh of the SVG element.
|
|
var width = +document.getElementById('svg').clientWidth,
|
|
height = +document.getElementById('svg').clientHeight;
|
|
|
|
var svg = d3.select("svg")
|
|
.call(d3.zoom().scaleExtent([0.0001, 1000000]).on("zoom", function () {
|
|
svg.attr("transform", d3.event.transform);
|
|
}))
|
|
.append("g");
|
|
|
|
var div = d3.select("body").append("div")
|
|
.attr("class", "tooltip")
|
|
.style("opacity", 0);
|
|
|
|
var brush = d3.brush()
|
|
.extent([[-9999999, -9999999], [9999999, 9999999]])
|
|
.on("end", brushEnded);
|
|
|
|
svg.append("g")
|
|
.attr("class", "brush")
|
|
.call(brush);
|
|
|
|
var intercom = Intercom.getInstance();
|
|
|
|
intercom.on("select", unSelectNodes);
|
|
|
|
var nodes, // as in Data points
|
|
node, // as in SVG object that have all small circles on screen
|
|
props,
|
|
norm,
|
|
p1 = 0,
|
|
p2 = 0,
|
|
size,
|
|
distanceFunction,
|
|
simulation,
|
|
velocities = [],
|
|
rendering = true, // Rendering during the execution.
|
|
forceName = "forces",
|
|
springForce = false,
|
|
tooltipWidth = 0,
|
|
fileName = "",
|
|
selectedData,
|
|
clickedIndex = -1,
|
|
paused = false,
|
|
alreadyRanIterations,
|
|
tweakedVerOfLink,
|
|
manualStop = false;
|
|
|
|
// Default parameters
|
|
var MULTIPLIER = 50,
|
|
PERPLEXITY = 30,
|
|
LEARNING_RATE = 10,
|
|
NEIGHBOUR_SIZE = 10,
|
|
SAMPLE_SIZE = 10,
|
|
PIVOTS = false,
|
|
NUM_PIVOTS = 3,
|
|
ITERATIONS = 300,
|
|
FULL_ITERATIONS = 20,
|
|
NODE_SIZE = 10,
|
|
COLOR_ATTRIBUTE = "",
|
|
FULL_NEIGHBOUR_SIZE = 10,
|
|
FULL_SAMPLE_SIZE = 10,
|
|
INTERP_ENDING_ITS = 20;
|
|
|
|
// Create a color scheme for a range of numbers.
|
|
var color = d3.scaleOrdinal(d3.schemeCategory10);
|
|
|
|
|
|
$(document).ready(function() {
|
|
distanceFunction = calculateDistance;
|
|
d3.select('#startSimulation').on('click', startHybridSimulation);
|
|
$("#HLParameters").show();
|
|
});
|
|
|
|
/**
|
|
* Parse the data from the provided csv file using Papa Parse library
|
|
* @param {file} evt - csv file.
|
|
*/
|
|
function parseFile(evt) {
|
|
// Clear the previous nodes
|
|
d3.selectAll(".nodes").remove();
|
|
springForce = false;
|
|
|
|
fileName = evt.target.files[0].name;
|
|
|
|
Papa.parse(evt.target.files[0], {
|
|
header: true,
|
|
dynamicTyping: true,
|
|
skipEmptyLines: true,
|
|
complete: function (results) {
|
|
processData(results.data, results.error);
|
|
}
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Process the data and pass it into D3 force simulation.
|
|
* @param {array} data
|
|
* @param {object} error
|
|
*/
|
|
function processData(data, error) {
|
|
if (error) throw error.message;
|
|
|
|
nodes = data;
|
|
size = nodes.length;
|
|
simulation = d3.forceSimulation();
|
|
|
|
// Calculate normalization arguments and get the list of
|
|
// properties of the nodes.
|
|
norm = calculateNormalization(nodes); // Used with distance fn
|
|
props = Object.keys(nodes[0]); // Properties to consider by distance fn
|
|
COLOR_ATTRIBUTE = props[props.length-1];
|
|
|
|
var opts = document.getElementById('color_attr').options;
|
|
|
|
props.forEach(function (d) {
|
|
opts.add(new Option(d, d, (d === COLOR_ATTRIBUTE) ? true : false));
|
|
});
|
|
opts.selectedIndex = props.length-1;
|
|
|
|
//props.pop(); //Hide Iris index / last column from distance function
|
|
|
|
//Put the nodes in random starting positions
|
|
//TODO Change this back
|
|
nodes.forEach(function (d) {
|
|
d.x = 0;
|
|
d.y = 0;
|
|
});
|
|
/*
|
|
nodes.forEach(function (d) {
|
|
d.x = (Math.random()-0.5) * 100000;
|
|
d.y = (Math.random()-0.5) * 100000;
|
|
});*/
|
|
|
|
addNodesToDOM(nodes);
|
|
|
|
// Pass the nodes to the D3 force simulation.
|
|
simulation
|
|
.nodes(nodes)
|
|
.stop();
|
|
|
|
ticked();
|
|
};
|
|
|
|
function addNodesToDOM(data) {
|
|
node = svg.append("g")
|
|
.attr("class", "nodes")
|
|
.selectAll("circle")
|
|
.data(data)
|
|
.enter().append("circle")
|
|
.attr("r", NODE_SIZE)
|
|
.attr("transform", "translate(" + width / 2 + "," + height / 2 + ")")
|
|
// Color code the data points by a property (for Poker Hands,
|
|
// it is a CLASS property).
|
|
.attr("fill", function (d) {
|
|
return color(d[COLOR_ATTRIBUTE]);
|
|
})
|
|
.on("mouseover", function (d) {
|
|
div.transition()
|
|
.duration(200)
|
|
.style("opacity", .9);
|
|
div.html(formatTooltip(d))
|
|
.style("left", (d3.event.pageX) + "px")
|
|
.style("top", (d3.event.pageY - (15 * props.length)) + "px")
|
|
.style("width", (6 * tooltipWidth) + "px")
|
|
.style("height", (14 * props.length) + "px");
|
|
highlightOnHover(d[COLOR_ATTRIBUTE]);
|
|
})
|
|
.on("mouseout", function (d) {
|
|
div.transition()
|
|
.duration(500)
|
|
.style("opacity", 0);
|
|
node.attr("opacity", 1);
|
|
})
|
|
.on("click", function (d) {
|
|
console.log("click", clickedIndex);
|
|
if (clickedIndex !== d.index) {
|
|
if (springForce) {
|
|
highlightNeighbours(Array.from(simulation.force(forceName).nodeNeighbours(d.index).keys()));
|
|
clickedIndex = d.index;
|
|
}
|
|
} else {
|
|
node.attr("r", NODE_SIZE).attr("stroke-width", 0);
|
|
clickedIndex = -1;
|
|
}
|
|
});
|
|
if (selectedData)
|
|
unSelectNodes(selectedData);
|
|
}
|
|
|
|
function ticked() {
|
|
//console.log("ticked");
|
|
alreadyRanIterations++;
|
|
// If rendering is selected, then draw at every iteration.
|
|
if (rendering === true) {
|
|
node // Each sub-circle in the SVG, update cx and cy
|
|
.attr("cx", function (d) {
|
|
return d.x*MULTIPLIER;
|
|
})
|
|
.attr("cy", function (d) {
|
|
return d.y*MULTIPLIER;
|
|
});
|
|
}
|
|
// Emit the distribution data to allow the drawing of the bar graph
|
|
if (springForce) {
|
|
intercom.emit("passedData", simulation.force(forceName).distributionData());
|
|
}
|
|
if(manualStop && alreadyRanIterations == ITERATIONS) {
|
|
ended();
|
|
}
|
|
}
|
|
|
|
function ended() {
|
|
simulation.stop();
|
|
simulation.force(forceName, null);
|
|
console.log("ended");
|
|
if (rendering !== true) { // Never drawn anything before? Now it's time.
|
|
node
|
|
.attr("cx", function (d) {
|
|
return d.x*MULTIPLIER;
|
|
})
|
|
.attr("cy", function (d) {
|
|
return d.y*MULTIPLIER;
|
|
});
|
|
}
|
|
|
|
if (p1 !== 0) {
|
|
// Performance time measurement
|
|
p2 = performance.now();
|
|
console.log("Execution time: " + (p2 - p1));
|
|
// Do not calculate stress for data sets bigger than 100 000.
|
|
// if (nodes.length <= 100000) {
|
|
// console.log("Stress: ", simulation.force(forceName).stress());
|
|
// }
|
|
// console.log(simulation.force(forceName).nodeNeighbours());
|
|
p1 = 0;
|
|
p2 = 0;
|
|
}
|
|
}
|
|
|
|
function brushEnded() {
|
|
var s = d3.event.selection,
|
|
results = [];
|
|
|
|
if (s) {
|
|
|
|
var x0 = s[0][0] - width / 2,
|
|
y0 = s[0][1] - height / 2,
|
|
x1 = s[1][0] - width / 2,
|
|
y1 = s[1][1] - height / 2;
|
|
|
|
if (nodes) {
|
|
var sel = node.filter(function (d) {
|
|
if (d.x > x0 && d.x < x1 && d.y > y0 && d.y < y1) {
|
|
return true;
|
|
}
|
|
return false;
|
|
}).data();
|
|
|
|
results = sel.map(function (a) { return a.index; });
|
|
}
|
|
|
|
intercom.emit("select", { name: fileName, indices: results });
|
|
|
|
d3.select(".brush").call(brush.move, null);
|
|
}
|
|
}
|
|
|
|
|
|
/**
|
|
* Format the tooltip for the data
|
|
* @param {*} node
|
|
*/
|
|
function formatTooltip(node) {
|
|
var textString = "",
|
|
temp = "";
|
|
|
|
tooltipWidth = 0;
|
|
props.forEach(function (element) {
|
|
temp = element + ": " + node[element] + "<br/>";
|
|
textString += temp;
|
|
if (temp.length > tooltipWidth) {
|
|
tooltipWidth = temp.length;
|
|
}
|
|
});
|
|
return textString;
|
|
}
|
|
|
|
/**
|
|
* Halt the execution.
|
|
*/
|
|
function stopSimulation() {
|
|
console.log("stopSimulation");
|
|
simulation.stop();
|
|
if (typeof hybridSimulation !== 'undefined') {
|
|
hybridSimulation.stop();
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Calculate the average values of the array.
|
|
* @param {array} array
|
|
* @return {number} the mean of the array.
|
|
*/
|
|
function getAverage(array) {
|
|
console.log("getAverage", array);
|
|
var total = 0;
|
|
for (var i = 0; i < array.length; i++) {
|
|
total += array[i];
|
|
}
|
|
return total / array.length;
|
|
}
|
|
|
|
/**
|
|
* Deselect the nodes to match the selection from other window.
|
|
* @param {*} data
|
|
*/
|
|
function unSelectNodes(data) {
|
|
selectedData = data;
|
|
if (fileName === data.name && nodes) {
|
|
node
|
|
.classed("notSelected", function (d) {
|
|
if (data.indices.indexOf(d.index) < 0) {
|
|
return true;
|
|
}
|
|
return false;
|
|
});
|
|
}
|
|
}
|
|
|
|
|
|
/**
|
|
* Highlight the neighbours for neighbour and sampling algorithm
|
|
* @param {*} indices
|
|
*/
|
|
function highlightNeighbours(indices) {
|
|
node
|
|
.attr("r", function (d) {
|
|
if (indices.indexOf(d.index) >= 0) {
|
|
return NODE_SIZE * 2;
|
|
}
|
|
return NODE_SIZE;
|
|
})
|
|
.attr("stroke-width", function (d) {
|
|
if (indices.indexOf(d.index) >= 0) {
|
|
return NODE_SIZE * 0.2 + "px";
|
|
}
|
|
return "0px";
|
|
})
|
|
.attr("stroke", "white");
|
|
}
|
|
|
|
|
|
/**
|
|
* Highlight all the nodes with the same class on hover
|
|
* @param {*} highlighValue
|
|
*/
|
|
function highlightOnHover(highlighValue) {
|
|
node.attr("opacity", function (d) {
|
|
return (highlighValue === d[COLOR_ATTRIBUTE]) ? 1 : 0.3;
|
|
});
|
|
}
|
|
|
|
/**
|
|
* Color the nodes according to given attribute.
|
|
*/
|
|
function colorToAttribute() {
|
|
node.attr("fill", function (d) {
|
|
return color(d[COLOR_ATTRIBUTE])
|
|
});
|
|
}
|
|
|
|
|
|
/**
|
|
* Update the distance range.
|
|
|
|
function updateDistanceRange() {
|
|
if (springForce) {
|
|
simulation.force(forceName).distanceRange(SELECTED_DISTANCE);
|
|
}
|
|
}
|
|
|
|
|
|
/**
|
|
* Implemented pause/resume functionality
|
|
*/
|
|
function pauseUnPause() {
|
|
if (simulation) {
|
|
if (paused) {
|
|
simulation.force(forceName);
|
|
simulation.restart();
|
|
d3.select("#pauseButton").text("Pause");
|
|
paused = false;
|
|
} else {
|
|
simulation.stop();
|
|
d3.select("#pauseButton").text("Resume");
|
|
paused = true;
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
/**
|
|
* Average distances for each node.
|
|
* @param {*} dataNodes
|
|
* @param {*} properties
|
|
* @param {*} normalization
|
|
|
|
function calculateAverageDistance(dataNodes, properties, normalization) {
|
|
var sum = 0,
|
|
n = nodes.length;
|
|
|
|
for (var i = 0; i < n; i++) {
|
|
var sumNode = 0;
|
|
for (var j = 0; j < n; j++) {
|
|
if (i !== j) {
|
|
sumNode += distanceFunction(nodes[i], nodes[j], properties, normalization);
|
|
// console.log(sumNode);
|
|
}
|
|
}
|
|
sum += sumNode / (n - 1);
|
|
}
|
|
|
|
return sum / n;
|
|
}*/
|