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demo.html
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en">
<title>Interactive Demo of figue</title>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8" />
<style>
div {
padding: 0;
margin: 0;
}
body {
font-size:9pt;
font-family: Arial;
}
#input_panel {
display: block;
clear: both;
width:800px;
}
#algo_panel {
clear:both;
width: 800px;
}
#output_panel {
display: none;
clear:both;
text-align: center;
width: 800px;
}
#data_panel {
display:table;
float: left ;
clear: both;
width: 100%;
}
#data {
width: 100%;
height: 100px;
}
#param_panel {
display:block;
float: left;
clear: both;
width: 100%;
margin-top: 10px;
}
#param_panel #params {
display: table-cell;
}
#cluster_button {
width: 100% ;
height: 4em;
display:table ;
}
</style>
<script type="text/javascript" src="figue.js"></script>
<script type="text/javascript">
/* <![CDATA[ */
function updateDS() {
var domobj = document.getElementById('datasets') ;
var ds = domobj.options[domobj.selectedIndex].value ;
if (ds in datasets)
document.getElementById('data').value = datasets[ds] ;
else
document.getElementById('data').value = "" ;
}
function parseData(data) {
var labels = new Array() ;
var vectors = new Array() ;
lines = data.split("\n") ;
for (var i = 0 ; i < lines.length ; i++) {
if (lines[i].length == 0)
continue ;
var elements = lines[i].split(",") ;
var label = elements.shift() ;
var vector = new Array() ;
for (j = 0 ; j < elements.length ; j++)
vector.push(parseFloat(elements[j])) ;
vectors.push(vector) ;
labels.push(label) ;
}
return {'labels': labels , 'vectors': vectors} ;
}
function runAlgo() {
var domobj = document.getElementById('algo') ;
var algo = domobj.options[domobj.selectedIndex].value ;
switch (algo) {
case 'kmeans': { runKM() ; break ; }
case 'hierarchical': { runHC() ; break ; }
case 'fcmeans': { runFCM() ; break ; }
}
document.getElementById('output_panel').style.display = 'block' ;
}
function showParamPanel (visiblePanel) {
var panelNames = ['km_panel', 'fcm_panel', 'hc_panel'] ;
for (var i = 0 ; i < panelNames.length ; i++)
document.getElementById(panelNames[i]).style.display = 'none' ;
document.getElementById(visiblePanel).style.display = 'block' ;
}
function updateAlgo() {
var domobj = document.getElementById('algo') ;
var algo = domobj.options[domobj.selectedIndex].value ;
switch (algo) {
case 'kmeans': { showParamPanel('km_panel') ; break ; }
case 'hierarchical': { showParamPanel('hc_panel') ; break ; }
case 'fcmeans': { showParamPanel('fcm_panel') ; break ; }
}
document.getElementById('text').innerHTML = "";
document.getElementById('output_panel').style.display = 'none' ;
}
function runKM() {
var data = parseData (document.getElementById('data').value) ;
var vectors = data['vectors'] ;
var labels = data['labels'] ;
var domobj = document.getElementById('KM-K') ;
var K = parseInt (domobj.options[domobj.selectedIndex].value) ;
var clusters = figue.kmeans(K , vectors);
var txt ;
if (clusters) {
txt = "<table border='1'>" ;
txt += "<tr><th>Label</th><th>Vector</th><th>Cluster id</th><th>Cluster centroid</th></tr>";
for (var i = 0 ; i < vectors.length ; i++) {
var index = clusters.assignments[i] ;
txt += "<tr><td>" + labels[i] + "</td><td>" + vectors[i] + "</td><td>" + index + "</td><td>" + clusters.centroids[index] + "</td></tr>";
}
txt += "</table>"
} else
txt = "No result (too many clusters/too few different instances (try changing K)" ;
document.getElementById('text').innerHTML = txt;
}
function runHC() {
var data = parseData (document.getElementById('data').value) ;
var domobj = document.getElementById('space') ;
var space = parseInt (domobj.options[domobj.selectedIndex].value) ;
var balanced = (radioValue('balanced') === 'true') ;
var withLabel = (radioValue('withLabel') === 'true') ;
var withCentroid = (radioValue('withCentroid') === 'true') ;
var withDistance = (radioValue('withDistance') === 'true') ;
var linkage = parseInt (radioValue('linkage')) ;
var distance = parseInt (radioValue('distance')) ;
root = figue.agglomerate(data['labels'], data['vectors'] , distance, linkage) ;
var pre = document.getElementById('text') ;
var text = root.buildDendogram(space, balanced, withLabel,withCentroid,withDistance);
if( document.all ) { pre.innerText = text ; } else { pre.innerHTML = text ; }
}
function runFCM() {
var data = parseData (document.getElementById('data').value) ;
var vectors = data['vectors'] ;
var labels = data['labels'] ;
var domobj = document.getElementById('FCM-K') ;
var K = parseInt (domobj.options[domobj.selectedIndex].value) ;
var fuzziness = parseInt (document.getElementById('fuzziness').value) ;
var epsilon = parseInt (document.getElementById('epsilon').value) ;
var clusters = figue.fcmeans(K, vectors, epsilon, fuzziness);
var txt ;
if (clusters) {
txt = "<table border='1'>" ;
txt += "<tr><th>Cluster id</th><th>Cluster centroid</th></tr>";
for (var i = 0 ; i < K ; i++) {
txt += "<tr><td>" + i + "</td><td>" + clusters.centroids[i] + "</td></tr>";
}
txt += "</table>"
txt += "<br/>"
txt += clusters.membershipMatrix ;
} else
txt = "No result (too many clusters/too few different instances (try changing K)" ;
document.getElementById('text').innerHTML = txt;
}
function radioValue(name) {
var radios = document.getElementsByName(name) ;
for (var i = 0 ; i < radios.length ; i++)
if (radios[i].checked)
return radios[i].value ;
}
var datasets = {
'people': "anna,37,2\nkarin,65,3\njohn,34,2\ntom,38,5\nmarc,38,6\nstephany,38,3\n" ,
'firms': "Microsoft,91259,60420\nIBM,400000,98787\nSkype,700,716\nSAP,48000,11567\nYahoo,14000,6426\neBay,15000,8700\n"
} ;
window.onload = function() {
updateDS();
updateAlgo();
}
/* ]]> */
</script>
</head>
<body>
<div id="input_panel">
<div id="data_panel">
<fieldset>
<legend>Data</legend>
Enter your data:
<textarea id="data">
</textarea>
<div style="margin-top:10px">
Or use an existing dataset:
<select id="datasets" onchange="updateDS();">
<option value="none">-</option>
<option value="people" selected>People (age, children)</option>
<option value="firms">Firms (size, revenue)</option>
</select>
</div>
</fieldset>
</div>
<div id="algo_panel">
<fieldset id="algorithms">
<legend>Clustering algorithm</legend>
<select id="algo" onchange="updateAlgo();">
<option value="hierarchical" selected>Hierarchical clustering</option>
<option value="kmeans">K-means</option>
<option value="fcmeans">Fuzzy C-means (Experimental)</option>
</select>
</fieldset>
</div>
<div id="param_panel">
<div id="km_panel">
<fieldset id="km_params">
<legend>Control panel</legend>
Number of clusters (K):
<select id="KM-K">
<option value="2">2</option>
<option value="3">3</option>
<option value="4" selected="selected">4</option>
<option value="5">5</option>
<option value="6">6</option>
<option value="7">7</option>
<option value="8">8</option>
<option value="9">9</option>
</select>
</fieldset>
</div>
<div id="fcm_panel">
<fieldset id="fcm_params">
<legend>Control panel</legend>
Number of clusters (K):
<select id="FCM-K">
<option value="2">2</option>
<option value="3">3</option>
<option value="4" selected="selected">4</option>
<option value="5">5</option>
<option value="6">6</option>
<option value="7">7</option>
<option value="8">8</option>
<option value="9">9</option>
</select>
<br/>
Epsilon: <input id="epsilon" value="0.3" size="5" />
<br/>
Fuzziness: <input id="fuzziness" value="2" size="5" />
</fieldset>
</div>
<div id="hc_panel">
<fieldset id="hc_params">
<legend>Control panel</legend>
Linkage method:
<input type="radio" name="linkage" value="0" checked/>Single-linkage
<input type="radio" name="linkage" value="1" />Complete-linkage
<input type="radio" name="linkage" value="2" />Average-linkage<br/>
<br/>
Distance:
<input type="radio" name="distance" value="0" checked/>Euclidian
<input type="radio" name="distance" value="1" />Manhattan
<input type="radio" name="distance" value="2" />Maximum<br/>
<br/>
Show labels:
<input type="radio" name="withLabel" value="true" checked/>Yes
<input type="radio" name="withLabel" value="false" />No <br/>
<br/>
Show centroids:
<input type="radio" name="withCentroid" value="true"/>Yes
<input type="radio" name="withCentroid" value="false" checked/>No<br/>
<br/>
Show distance:
<input type="radio" name="withDistance" value="true"/>Yes
<input type="radio" name="withDistance" value="false" checked/>No<br/>
<br/>
Balance dendogram:
<input type="radio" name="balanced" value="true" checked/>Yes
<input type="radio" name="balanced" value="false" />No <br/>
<br/>
Minimum spacing between nodes:
<select id="space">
<option value="3">3</option>
<option value="5">5</option>
<option value="7" selected="selected">7</option>
<option value="9">9</option>
</select>
</fieldset>
</div>
<div id="cluster_button" style="">
<div style="display:table-row; width:100%;text-align:center;">
<div style="vertical-align: middle; display:table-cell;">
<input type="button" onclick="runAlgo();" value="Cluster data and display assignments" />
</div>
</div>
</div>
<div id="output_panel">
<fieldset>
<legend>Output</legend>
<pre id="text"> </pre>
</fieldset>
</div>
</body>
</html>