Neighbor sampling remove distance threshold

examples/js/src/neighbourSampling-papaparsing/neighbourSampling.js

@@ -3,7 +3,7 @@
  */
 function startNeighbourSamplingSimulation() {
   console.log("startNeighbourSamplingSimulation");
-  springForce = true;
+  //springForce = true;
   simulation.stop();
   p1 = performance.now();
 
@@ -14,7 +14,6 @@ function startNeighbourSamplingSimulation() {
       .neighbourSize(NEIGHBOUR_SIZE)
       .sampleSize(SAMPLE_SIZE)
       // .freeness(0.5)
-      .distanceRange(SELECTED_DISTANCE)
       // The distance function that will be used to calculate distances
       //  between nodes.
       .distance(function (s, t) {

src/neighbourSamplingDistance.js

@@ -23,7 +23,6 @@ export default function () {
     neighbours = [],
     samples = new Array(),
     distance = constant(300),
-    distanceRange = 10,
     nodes,
     neighbourSize = 6,
     sampleSize = 3,
@@ -157,11 +156,7 @@ export default function () {
         rand = Math.floor((Math.random() * max));
       }
       let dist = +distance(nodes[index], nodes[rand]);
-      if (dist <= distanceRange) {
-        randElements.set(rand, dist);
-      } else {
-        triedElements++;
-      }
+      randElements.set(rand, dist);
     }
 
     return randElements;
@@ -215,7 +210,7 @@ export default function () {
 
         // Check if a value from sample could be a better neighbour
         // if so, replace it.
-        if (value < neighbMax[1] && value <= distanceRange) {
+        if (value < neighbMax[1]) {
           neighbours[index].delete(neighbMax[0]);
           neighbours[index].set(key, value)
           neighbours[index] = new Map([...neighbours[index].entries()].sort(sortDistances));
@@ -277,10 +272,6 @@ export default function () {
     return arguments.length ? (freeness = +_, force) : freeness;
   };*/
 
-  force.distanceRange = function (_) {
-    return arguments.length ? (distanceRange = +_, force) : distanceRange;
-  };
-
   force.nodeNeighbours = function (_) {
     return arguments.length ? neighbours[+_] : neighbours;
   };