all these changes

frontend/node_modules/skmeans/test/data/well-separated.js

@@ -0,0 +1 @@
+module.exports = [[-82.46337890625,23.059516273509303],[-82.353515625,23.120153621695614],[-82.36450195312499,23.074678175027337],[-82.19970703125,23.221154981846556],[-82.19970703125,23.089838367476705],[-82.28759765625,22.99379497224218],[-75.8551025390625,20.035289711352377],[-75.6683349609375,20.128155311797183],[-75.73974609375,20.122997556207757],[-75.6683349609375,20.030128899024707],[-75.80017089843749,20.040450354169483],[-76.0089111328125,20.226120295836992],[-76.0308837890625,19.926877111209265],[-75.7562255859375,20.014645445341365],[-80.46936035156249,22.070368801349257],[-80.34027099609375,22.2026634080092],[-80.35675048828125,22.12126604542578],[-80.43914794921875,22.271305748177635],[-80.38970947265625,22.021999432851782],[-80.55999755859375,22.118721619281263],[-80.54351806640625,22.0525504317147],[-75.87158203125,20.86907773201848],[-75.640869140625,20.571081893508193],[-76.640625,21.053744493156348],[-76.7724609375,20.56079574020845],[-76.278076171875,20.992214250886114],[-76.058349609375,20.50935458871459],[-76.365966796875,20.776659051878816],[-77.091064453125,19.932041306115536],[-79.87060546875,22.40087159030595],[-79.903564453125,22.31958944283391],[-80.079345703125,22.28909641872304],[-80.035400390625,22.004174972902003],[-79.4970703125,22.156883186860703],[-80.343017578125,21.309846141087192],[-79.4970703125,21.58593511478851],[-78.79394531249999,22.51255695405145],[-79.07958984375,21.922663209325922],[-78.782958984375,21.3303150734318],[-82.452392578125,23.976214626638292],[-82.6171875,23.68477416688374],[-82.056884765625,23.68477416688374],[-83.43017578125,22.6038688428957],[-83.001708984375,23.200960808078566],[-82.72705078125,22.92804166565176]];

frontend/node_modules/skmeans/test/multi.js

@@ -0,0 +1,15 @@
+const skmeans = require("../main.js");
+
+var data = [];
+for(let i=0;i<2000;i++) {
+	var r = Math.random();
+	if(r>=0 && r<0.33) data.push([r,r*2]);
+	else if(r>=0.33 && r<0.66) data.push([r+4,2*(r+4)]);
+	else data.push([r+9,2*(r+9)]);
+}
+
+var res = skmeans(data,3,"kmrand");
+console.log(res.it,res.centroids);
+
+var res = skmeans(data,3,"kmpp");
+console.log(res.it,res.centroids);

frontend/node_modules/skmeans/test/stats.js

@@ -0,0 +1,65 @@
+const skmeans = require("../main.js");
+const data1 = require("./data/well-separated.js");
+const data2 = require("./data/random_pts.js");
+const MAX = 1000;
+
+function testCentroids(ks) {
+	ks.forEach(k=>{
+		k.forEach(v=>{
+			if(v==0) {
+				console.error(`Centroid on 0 ${k}`);
+				process.exit(1);
+			}
+		})
+	})
+}
+
+console.log("Simple data (k=3)");
+var its = 0;
+for(var i=0;i<MAX;i++) {
+	var res = skmeans(data1,3);
+	testCentroids(res.centroids);
+	its += res.it;
+}
+console.log("skmeans default\t\t=>",its/MAX);
+
+var its = 0;
+for(var i=0;i<MAX;i++) {
+	var res = skmeans(data1,3,"kmrand");
+	testCentroids(res.centroids);
+	its += res.it;
+}
+console.log("skmeans kmrand\t\t=>",its/MAX);
+
+var its = 0;
+for(var i=0;i<MAX;i++) {
+	var res = skmeans(data1,3,"kmpp");
+	testCentroids(res.centroids);
+	its += res.it;
+}
+console.log("skmeans kmpp\t\t=>",its/MAX);
+
+console.log("Complex data (k=16)");
+var its = 0;
+for(var i=0;i<MAX;i++) {
+	var res = skmeans(data2,16);
+	testCentroids(res.centroids);
+	its += res.it;
+}
+console.log("skmeans default\t\t=>",its/MAX);
+
+var its = 0;
+for(var i=0;i<MAX;i++) {
+	var res = skmeans(data2,16,"kmrand");
+	testCentroids(res.centroids);
+	its += res.it;
+}
+console.log("skmeans kmrand\t\t=>",its/MAX);
+
+var its = 0;
+for(var i=0;i<MAX;i++) {
+	var res = skmeans(data2,16,"kmpp");
+	testCentroids(res.centroids);
+	its += res.it;
+}
+console.log("skmeans kmpp\t\t=>",its/MAX);

frontend/node_modules/skmeans/test/test.js

@@ -0,0 +1,42 @@
+const skmeans = require("../main.js");
+
+function testUni() {
+	var data = [];
+	for(let i=0;i<1000;i++) {
+		var r = Math.random();
+		if(r>=0 && r<0.33) data.push(r);
+		else if(r>=0.33 && r<0.66) data.push(r+4);
+		else data.push(r+9);
+	}
+
+	var its = 10000;
+
+	var ti = Date.now();
+	for(var i=0;i<its;i++) {
+		var res = skmeans(data,3);
+	}
+	var tf = Date.now();
+	console.log("Unidimensional",1000*its/(tf-ti) + " ops/sec");
+}
+
+function testMulti() {
+	var data = [];
+	for(let i=0;i<1000;i++) {
+		var r = Math.random();
+		if(r>=0 && r<0.33) data.push([r,r*2]);
+		else if(r>=0.33 && r<0.66) data.push([r+4,2*(r+4)]);
+		else data.push([r+9,2*(r+9)]);
+	}
+
+	var its = 10000;
+
+	var ti = Date.now();
+	for(var i=0;i<its;i++) {
+		var res = skmeans(data,3);
+	}
+	var tf = Date.now();
+	console.log("Multidimensional",1000*its/(tf-ti) + " ops/sec");
+}
+
+testUni();
+testMulti();

frontend/node_modules/skmeans/test/test_rand.js

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+const skmeans = require("../main.js");
+const data = require("./data/random_pts.js");
+
+var method = process.argv[2] || null;
+var res = skmeans(data,16,method);
+console.error(res);
+var out = data.map((d,i)=>{
+	return {
+		cluster: "CLUSTER_"+res.idxs[i],
+		x:d[0],
+		y:d[1]
+	}
+});
+
+res.centroids.forEach((k,i)=>{
+	out.push({
+		cluster: "K_"+i,
+		x:k[0],
+		y:k[1]
+	})
+});
+
+console.log(JSON.stringify(out,null,2));

frontend/node_modules/skmeans/test/test_ws.js

@@ -0,0 +1,23 @@
+const skmeans = require("../main.js");
+const data = require("./data/well-separated.js");
+
+var method = process.argv[2] || null;
+var res = skmeans(data,3,method);
+console.error(res);
+var out = data.map((d,i)=>{
+	return {
+		cluster: "CLUSTER_"+res.idxs[i],
+		x:d[0],
+		y:d[1]
+	}
+});
+
+res.centroids.forEach((k,i)=>{
+	out.push({
+		cluster: "K_"+i,
+		x:k[0],
+		y:k[1]
+	})
+});
+
+console.log(JSON.stringify(out,null,2));

frontend/node_modules/skmeans/test/uni.js

@@ -0,0 +1,15 @@
+const skmeans = require("../main.js");
+
+var data = [];
+for(let i=0;i<2000;i++) {
+	var r = Math.random();
+	if(r>=0 && r<0.33) data.push(r);
+	else if(r>=0.33 && r<0.66) data.push(r+4);
+	else data.push(r+9);
+}
+
+var res = skmeans(data,3,[1,5,9]);
+console.log(res.it,res.centroids);
+
+var res = skmeans(data,3,"kmpp");
+console.log(res.it,res.centroids);