import orange import orngClustering data = orange.ExampleTable("iris") sample = data.selectref(orange.MakeRandomIndices2(data, 20), 0) root = orngClustering.hierarchicalClustering(sample) orngClustering.dendrogram_draw("hclust-dendrogram.png", root, data=sample, labels=[str(d.getclass()) for d in sample])
import orange import orngClustering data = orange.ExampleTable("../datasets/brown-selected.tab") root = orngClustering.hierarchicalClustering(data, order=False) d = orngClustering.DendrogramPlotPylab( root, data=data, labels=[str(ex.getclass()) for ex in data]) d.plot(filename="tmp.png")
import orange import orngClustering data = orange.ExampleTable("allchanges.arff") #sample = data.selectref(orange.MakeRandomIndices2(data, 20), 0) root = orngClustering.hierarchicalClustering(data) #orngClustering.dendrogram_draw("allchanges.png", root,labels=[str(d.getclass()) for d in data])
import orange import orngClustering data = orange.ExampleTable("iris") root = orngClustering.hierarchicalClustering(data) n = 3 cls = orngClustering.hierarhicalClustering_topClustersMembership(root, n)
import orange import orngClustering data = orange.ExampleTable("../datasets/brown-selected.tab") root = orngClustering.hierarchicalClustering(data, order=False) d = orngClustering.DendrogramPlotPylab(root, data=data, labels=[str(ex.getclass()) for ex in data]) d.plot(filename="tmp.png")