แก้ coding style ภาค 10

This commit is contained in:
Pitchaya Boonsarngsuk
2018-03-22 16:40:27 +00:00
parent 400eab7e80
commit cd0f3687cb
14 changed files with 104 additions and 109 deletions

View File

@@ -2,9 +2,9 @@
* Initialize the hybrid layout algorithm and start simulation.
*/
function startHybridSimulation () {
console.log("startHybridSimulation");
console.log('startHybridSimulation');
springForce = false;
d3.selectAll(".nodes").remove();
d3.selectAll('.nodes').remove();
manualStop = false;
simulation.stop();
p1 = performance.now();
@@ -17,13 +17,13 @@ function startHybridSimulation() {
.neighbourSize(NEIGHBOUR_SIZE)
.sampleSize(SAMPLE_SIZE)
.stableVelocity(0) // Change here
.distance(distance)
.distance(distance);
let forceFull = d3.forceNeighbourSampling()
.neighbourSize(FULL_NEIGHBOUR_SIZE)
.sampleSize(FULL_SAMPLE_SIZE)
.stableVelocity(0) // Change here
.distance(distance)
.distance(distance);
let hybridSimulation = d3.hybridSimulation(simulation, forceSample, forceFull)
.sampleIterations(ITERATIONS)
@@ -31,10 +31,10 @@ function startHybridSimulation() {
.numPivots(PIVOTS ? NUM_PIVOTS : -1)
.interpFindTuneIts(INTERP_ENDING_ITS)
.interpDistanceFn(distance)
.on("sampleTick", ticked)
.on("fullTick", ticked)
.on("startInterp", startedFull)
.on("end", ended);
.on('sampleTick', ticked)
.on('fullTick', ticked)
.on('startInterp', startedFull)
.on('end', ended);
let sample = hybridSimulation.subSet();
addNodesToDOM(sample);
@@ -42,8 +42,8 @@ function startHybridSimulation() {
hybridSimulation.restart();
function startedFull () {
console.log("startedFull");
d3.selectAll(".nodes").remove();
console.log('startedFull');
d3.selectAll('.nodes').remove();
addNodesToDOM(nodes);
}
}

View File

@@ -2,7 +2,7 @@
* Initialize the link force algorithm and start simulation.
*/
function startLinkSimulation () {
console.log("startLinkSimulation")
console.log('startLinkSimulation');
springForce = false;
alreadyRanIterations = 0;
manualStop = true;
@@ -17,13 +17,12 @@ function startLinkSimulation() {
})
.stableVelocity(0) // Change here
.onStableVelo(ended);
}
else {
} else {
for (i = nodes.length - 1; i >= 1; i--) {
for (j = i - 1; j >= 0; j--) {
links.push({
source: nodes[i],
target: nodes[j],
target: nodes[j]
});
}
}
@@ -51,8 +50,8 @@ function startLinkSimulation() {
simulation
.alphaDecay(0)
.alpha(1)
.on("tick", ticked)
.on("end", ended)
.on('tick', ticked)
.on('end', ended)
// .velocityDecay(0.8)
.force(forceName, force)
.restart();

View File

@@ -2,7 +2,7 @@
* Initialize the Chalmers' 1996 algorithm and start simulation.
*/
function startNeighbourSamplingSimulation () {
console.log("startNeighbourSamplingSimulation");
console.log('startNeighbourSamplingSimulation');
// springForce = true;
alreadyRanIterations = 0;
manualStop = true;
@@ -21,8 +21,8 @@ function startNeighbourSamplingSimulation() {
simulation
.alphaDecay(0)
.alpha(1)
.on("tick", ticked)
.on("end", ended)
.on('tick', ticked)
.on('end', ended)
.force(forceName, force);
// Restart the simulation.
simulation.restart();

View File

@@ -26,15 +26,15 @@ function starttSNE() {
* Initialize the Barnes-Hut algorithm and start simulation.
*/
function startBarnesHutSimulation () {
console.log("startBarnesHutSimulation")
console.log('startBarnesHutSimulation');
alreadyRanIterations = 0;
manualStop = false;
springForce = false;
p1 = performance.now();
simulation.alphaDecay(1 - Math.pow(0.001, 1 / ITERATIONS))
.on("tick", ticked)
.on("end", ended)
.on('tick', ticked)
.on('end', ended)
.force(forceName, d3.forceBarnesHut()
// The distance function that will be used to calculate distances
// between nodes.

View File

@@ -12,7 +12,7 @@ function calculateCosineSimilarity(source, target, properties, 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") {
if (property.toLowerCase() !== 'class' && property.toLowerCase() !== 'app' && property.toLowerCase() !== 'user' && property.toLowerCase() !== 'weekday') {
var s = source[property],
t = target[property];

View File

@@ -12,7 +12,7 @@ function calculateDiceDissimilarity(source, target, properties, 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") {
if (property.toLowerCase() !== 'class' && property.toLowerCase() !== 'app' && property.toLowerCase() !== 'user' && property.toLowerCase() !== 'weekday') {
var s = source[property],
t = target[property];

View File

@@ -19,8 +19,8 @@ function calculateDistance(source, target, properties, normArgs) {
// Iterate through every column of data
for (var i = 0; i < properties.length; i++) {
property = properties[i];
if (source.hasOwnProperty(property) && target.hasOwnProperty(property)
&& property.toLowerCase() !== "index" && property.toLowerCase() !== "type") {
if (source.hasOwnProperty(property) && target.hasOwnProperty(property) &&
property.toLowerCase() !== 'index' && property.toLowerCase() !== 'type') {
var s = source[property],
t = target[property];
@@ -42,9 +42,8 @@ function calculateDistance(source, target, properties, normArgs) {
// Comparing Dates
var parsedDateS = Date.parse(s);
var parsedDateT = Date.parse(t);
if (isNaN(s) && !isNaN(parsedDateS)
&& isNaN(t) && !isNaN(parsedDateT)) {
if (isNaN(s) && !isNaN(parsedDateS) &&
isNaN(t) && !isNaN(parsedDateT)) {
val1 = parsedDateS.valueOf(),
val2 = parsedDateT.valueOf();

View File

@@ -10,7 +10,7 @@ function calculateDistancePoker(source, target) {
var sumDiff = 0.0,
ordDiff = 1.0,
ORD_FACTOR = 1.5,
cards = ["C1", "C2", "C3", "C4", "C5"],
cards = ['C1', 'C2', 'C3', 'C4', 'C5'],
cols = 0;
// Iterate through cards
@@ -26,13 +26,13 @@ function calculateDistancePoker(source, target) {
// Class of poker hands describes the similarities the best
// so give it more priority than checking the differences between cards.
if (source.hasOwnProperty("CLASS") && target.hasOwnProperty("CLASS")) {
var s = parseInt(source["CLASS"]),
t = parseInt(target["CLASS"]);
if (source.hasOwnProperty('CLASS') && target.hasOwnProperty('CLASS')) {
var s = parseInt(source['CLASS']),
t = parseInt(target['CLASS']);
// If classes differ, then scale them by a factor.
if (s !== t) {
ordDiff *= (ORD_FACTOR * (Math.abs(s-t)))
ordDiff *= (ORD_FACTOR * (Math.abs(s - t)));
}
}

View File

@@ -12,7 +12,7 @@ function calculateEuclideanDistance(source, target, properties, 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") {
if (property.toLowerCase() !== 'class' && property.toLowerCase() !== 'app' && property.toLowerCase() !== 'user' && property.toLowerCase() !== 'weekday' && property.toLowerCase() !== 'type') {
var s = source[property],
t = target[property];

View File

@@ -15,7 +15,7 @@ function calculateEuclideanDistanceTSNE(source, target, properties, normArgs) {
for (var i = 0; i < properties.length; i++) {
property = properties[i];
if (source.hasOwnProperty(property) && target.hasOwnProperty(property) &&
property.toLowerCase() !== "class") {
property.toLowerCase() !== 'class') {
var s = source[property],
t = target[property];

View File

@@ -12,7 +12,7 @@ function calculateJaccardDissimilarity(source, target, properties, 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") {
if (property.toLowerCase() !== 'class' && property.toLowerCase() !== 'app' && property.toLowerCase() !== 'user' && property.toLowerCase() !== 'weekday') {
var s = source[property],
t = target[property];

View File

@@ -13,7 +13,7 @@ function calculateManhattanDistance(source, target, properties, 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") {
if (property.toLowerCase() !== 'class' && property.toLowerCase() !== 'app' && property.toLowerCase() !== 'user' && property.toLowerCase() !== 'weekday') {
var s = source[property],
t = target[property];

View File

@@ -23,10 +23,8 @@ function calculateNormalization(nodes) {
};
}
function standardDevation (nodes, properties, avg) {
var stDev = new Array(properties.length).fill(0)
var stDev = new Array(properties.length).fill(0);
for (var i = 0; i < properties.length; i++) {
var sum = 0;
@@ -52,7 +50,6 @@ function standardDevation(nodes, properties, avg) {
}
return stDev;
}
// Calculate the sum of values and the squared sum