You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
62 lines
1.1 KiB
Plaintext
62 lines
1.1 KiB
Plaintext
s.reboot
|
|
~ds = FluidDataSet.new(s,\simple1data)
|
|
~point = Buffer.alloc(s,1,1)
|
|
(
|
|
Routine{
|
|
10.do{|i|
|
|
~point.set(0,i);
|
|
s.sync;
|
|
~ds.addPoint(i.asString,~point,{("addPoint"+i).postln})
|
|
}
|
|
}.play
|
|
)
|
|
|
|
/*** KDTREE ***/
|
|
~tree = FluidKDTree.new(s)
|
|
~tree.fit(~ds,action:{"Done indexing".postln})
|
|
|
|
k = 5; //play with this
|
|
(
|
|
Routine{
|
|
10.do{|i|
|
|
~point.set(0,i);
|
|
s.sync;
|
|
("Neighbours for point" + i).postln;
|
|
~tree.kNearest(~point, k, {|x| ("Labels:" + x).postln})
|
|
}
|
|
}.play
|
|
)
|
|
|
|
/*** KMEANS ***/
|
|
|
|
~kmeans = FluidKMeans.new(s)
|
|
~nClusters = 4; //play with this
|
|
~kmeans.fit(~ds,~nClusters,100,action:{"Done fitting".postln})
|
|
|
|
(
|
|
Routine{
|
|
10.do{|i|
|
|
~point.set(0,i * 10);
|
|
s.sync;
|
|
~kmeans.predictPoint(~point,{|x| ("Predicted Cluster for point" + (i * 10) ++ ":" + x).postln})
|
|
}
|
|
}.play
|
|
)
|
|
|
|
~labels = FluidLabelSet(s,\simple1label);
|
|
|
|
~kmeans.predict(~ds,~labels, {|x| ("Size of each cluster" + x).postln})
|
|
|
|
(
|
|
Routine{
|
|
var n;
|
|
~labels.size({|x| n = x.asInteger;});
|
|
n.postln;
|
|
n.do{|i|
|
|
~labels.getLabel(i.asString,action: {|l|("Label for" + i ++ ":" + l).postln});
|
|
}
|
|
}.play
|
|
)
|
|
|
|
|