Created
May 23, 2015 15:34
-
-
Save buesing/1ee3ec078d98f23a8a63 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
// Generated by CoffeeScript 1.4.0 | |
(function() { | |
var $s, all_clusterings, data, data_source, height, k, mds, width; | |
$s = function(elem) { | |
return $(document.createElementNS('http://www.w3.org/2000/svg', elem)); | |
}; | |
width = $(window).width(); | |
height = $(window).height(); | |
d3.select("svg").attr("width", width).attr("height", height); | |
data = []; | |
all_clusterings = []; | |
mds = []; | |
data_source = "wine.data"; | |
$.when((function() { | |
var _i, _results; | |
_results = []; | |
for (k = _i = 2; _i <= 6; k = ++_i) { | |
$.getJSON("rest.php", { | |
action: "kmeans", | |
algorithm: "Lloyd", | |
k: k, | |
data: data_source | |
}, function(json_data) { | |
return all_clusterings.push(json_data); | |
}); | |
_results.push($.getJSON("rest.php", { | |
action: "kmeans", | |
algorithm: "Hartigan-Wong", | |
k: k, | |
data: data_source | |
}, function(json_data) { | |
return all_clusterings.push(json_data); | |
})); | |
} | |
return _results; | |
})(), $.getJSON("rest.php", { | |
action: "mds", | |
k: "5", | |
data: "wine.data" | |
}, function(json_data) { | |
mds = json_data.points; | |
return console.log("mds done"); | |
})).then(function() { | |
var color, current_clustering, get_symbol, render, ri_matrix, xMap, xScale, xValue, yMap, yScale, yValue; | |
xValue = function(d) { | |
return d[0]; | |
}; | |
xScale = d3.scale.linear().range([0, width]); | |
xMap = function(d) { | |
return xScale(xValue(d)); | |
}; | |
yValue = function(d) { | |
return d[1]; | |
}; | |
yScale = d3.scale.linear().range([0, height]); | |
yMap = function(d) { | |
return yScale(yValue(d)); | |
}; | |
xScale.domain([d3.min(mds, xValue) - 20, d3.max(mds, xValue) + 20]); | |
yScale.domain([d3.min(mds, yValue) - 20, d3.max(mds, yValue) + 20]); | |
color = d3.scale.ordinal().range(["#a6cee3", "#1f78b4", "#b2df8a", "#33a02c", "#fb9a99", "#e31a1c", "#fdbf6f", "#ff7f00", "#cab2d6", "#6a3d9a", "#ffff99", "#b15928"]); | |
render = function(cluster_i) { | |
var svg; | |
svg = d3.select("#cluster-rand"); | |
svg.html(""); | |
return svg.selectAll("path").data(mds).enter().append("path").attr("class", function(d, i) { | |
return "path" + all_clusterings[cluster_i].indices[i]; | |
}).attr("data-cluster", function(d, i) { | |
return all_clusterings[cluster_i].indices[i]; | |
}).attr("transform", function(d, i) { | |
return "translate(" + xMap(d) + "," + yMap(d) + ")"; | |
}).attr("d", function(d, i) { | |
return get_symbol(0); | |
}).attr("fill", function(d, i) { | |
return color(all_clusterings[cluster_i].indices[i]); | |
}); | |
}; | |
get_symbol = function(i) { | |
return d3.svg.symbol().type(d3.svg.symbolTypes[i]).size(80); | |
}; | |
ri_matrix = []; | |
current_clustering = 0; | |
render(current_clustering); | |
return $("#cluster-rand").click(function() { | |
current_clustering = (current_clustering + 1) % all_clusterings.length; | |
return render(current_clustering); | |
}); | |
}); | |
}).call(this); |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment