orange-modelmaps / archive /

import orange
import orngClustering

root = r"C:\Python26\Lib\site-packages\orange\doc\datasets"
data = orange.ExampleTable(root + "\\")

att = ['cdc15 270', 'spo- mid', 'heat 20']
pp = orange.Preprocessor_select()
pp.attributes = [data.domain[i] for i in att]
data_clust = pp(data)

for i in range(1,100):
    km = orngClustering.KMeans(data_clust, centroids = 3, maxiters = i, initialization = orngClustering.kmeans_init_random, distance = orange.ExamplesDistanceConstructor_Hamming)
    print km.score
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