		"use strict";

		(function($) {
		var skmeans = require("./main.js");
		$.skmeans = skmeans;
		})(window);
		(function() {
		var root = this
		var previous_skmeans = root.skmeans;
		var skmeans = require('./main.js');

		if( typeof exports !== 'undefined' ) {
		if( typeof module !== 'undefined' && module.exports ) {
		exports = module.exports = skmeans;
		}
		exports.skmeans = skmeans;
		}

		if(typeof window !== 'undefined') {
		window.skmeans = skmeans;
		}

		}).call(this);

distance.js

		@@ -17,2 +17,14 @@ module.exports = {

		mandist(v1,v2,sqrt) {
		var len = v1.length;
		var sum = 0;

		for(let i=0;i<len;i++) {
		sum += Math.abs((v1[i]\|\|0) - (v2[i]\|\|0));
		}

		// Square root not really needed
		return sqrt? Math.sqrt(sum) : sum;
		},

		/**
		@@ -19,0 +31,0 @@ * Unidimensional distance

Gruntfile.js

		@@ -12,3 +12,3 @@ module.exports = function(grunt) {
		files: {
		'dist/skmeans.js': ['browser.js']
		'dist/browser/skmeans.js': ['browser.js']
		}
		@@ -23,5 +23,13 @@ }
		dist: {
		files: {
		'dist/skmeans.js': 'dist/skmeans.js'
		}
		files: [
		{
		expand: true,
		src: ['*.js'],
		dest: 'dist/node',
		ext: '.js'
		},
		{
		'dist/browser/skmeans.js': ['dist/browser/skmeans.js'],
		}
		]
		}
		@@ -35,7 +43,7 @@ },
		files: {
		'dist/skmeans.min.js' : ['dist/skmeans.js']
		'dist/browser/skmeans.min.js' : ['dist/browser/skmeans.js']
		}
		}
		},
		clean: ['dist/.js','dist/.map']
		clean: ['dist/browser/.js','dist/browser/.map']
		});
		@@ -42,0 +50,0 @@

kinit.js

@@ -0,0 +0,0 @@ const

main.js

		@@ -7,2 +7,3 @@ /jshint esversion: 6 /
		eudist = Distance.eudist,
		mandist = Distance.mandist,
		dist = Distance.dist,
		@@ -27,2 +28,3 @@ kmrand = ClusterInit.kmrand,
		var len = data.length, vlen = data[0].length, multi = vlen>0;
		var count = [];

		@@ -50,2 +52,5 @@ if(!initial) {
		do {
		// Reset k count
		init(k,0,count);

		// For each value in data, find the nearest centroid
		@@ -62,10 +67,10 @@ for(let i=0;i<len;i++) {
		}
		idxs[i] = idx;
		idxs[i] = idx; // Index of the selected centroid for that value
		count[idx]++; // Number of values for this centroid
		}

		// Recalculate centroids
		var count = [], sum = [], old = [], dif = 0;
		var sum = [], old = [], dif = 0;
		for(let j=0;j<k;j++) {
		// Multidimensional or unidimensional
		count[j] = 0;
		sum[j] = multi? init(vlen,0,sum[j]) : 0;
		@@ -81,5 +86,5 @@ old[j] = ks[j];
		for(let i=0;i<len;i++) {
		let idx = idxs[i], // Centroid for that item
		vsum = sum[idx], // Sum values for this centroid
		vect = data[i]; // Current vector
		let idx = idxs[i], // Centroid for that item
		vsum = sum[idx], // Sum values for this centroid
		vect = data[i]; // Current vector

		@@ -90,3 +95,2 @@ // Accumulate value on the centroid for current vector
		}
		count[idx]++; // Number of values for this centroid
		}
		@@ -96,12 +100,12 @@ // Calculate the average for each centroid
		for(let j=0;j<k;j++) {
		let ksj = ks[j], // Current centroid
		sumj = sum[j], // Accumulated centroid values
		oldj = old[j], // Old centroid value
		cj = count[j]; // Number of elements for this centroid
		let ksj = ks[j], // Current centroid
		sumj = sum[j], // Accumulated centroid values
		oldj = old[j], // Old centroid value
		cj = count[j]; // Number of elements for this centroid

		// New average
		for(let h=0;h<vlen;h++) {
		//ksj[h] = (sumj[h]+oldj[h])/(cj+1) \|\| 0; // New centroid
		ksj[h] = (sumj[h])/(cj) \|\| 0; // New centroid
		}

		// Find if centroids have moved
		@@ -124,3 +128,2 @@ if(conv) {
		sum[idx] += data[i];
		count[idx]++;
		}
		@@ -127,0 +130,0 @@ // Calculate the average for each centroid

package.json

		{
		"name": "skmeans",
		"version": "0.9.5",
		"version": "0.9.6",
		"description": "Super fast simple k-means and k-means++ clustering for unidimiensional and multidimensional data. Works in node and browser",
		@@ -8,3 +8,3 @@ "author": "David Gómez Matarrodona <solzimer@gmail.com>",
		"email": "solzimer@gmail.com",
		"main": "main.js",
		"main": "dist/node/main.js",
		"license": "MIT",
		@@ -11,0 +11,0 @@ "repository": "solzimer/skmeans",

README.md

@@ -0,0 +0,0 @@ # skmeans

test/multi.js