Python hierarchicalClustering Beispiele

Beispiel #1

Datei: modules_hclust-dendrogram.py Projekt: yisuax11/orange2

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]) 

Beispiel #2

Datei: modules_hclust-test1.py Projekt: stefie10/slu_hri

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")

Beispiel #3

Datei: hclust-dendrogram.py Projekt: saketkc/machine_learning

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]) 

Beispiel #4

import orange
import orngClustering

data = orange.ExampleTable("iris")
root = orngClustering.hierarchicalClustering(data)
n = 3
cls = orngClustering.hierarhicalClustering_topClustersMembership(root, n)

Beispiel #5

Datei: modules_hclust-test1.py Projekt: AutumnLight/orange

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")