DataMelt example weka_em

EM clustering and printing cluster membership using Weka
Code: "weka_em_clustering.py". Programming language: Python DMelt Version 2.2. Last modified: 03/03/2021. License: Pro
https://datamelt.org/code/cache/weka_em_clustering_3580.py
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from java.io import FileReader
from weka.core import Instances

from jhplot import Web
xf="weather.arff"
url="https://datamelt.org/examples/data/weka/"+xf
print "Loading ",xf
print Web.get(url)

data = Instances(FileReader(xf))
from weka.clusterers import EM;
cls = EM()   #  new instance of clusterer
cls.setOptions(["-N", "2"])
cls.buildClusterer(data)  #  build the clusterer
print cls

# print cluster membership
from weka.core import Utils
for i in range(data.numInstances()):
      cluster = cls.clusterInstance(data.instance(i))
      dist = cls.distributionForInstance(data.instance(i))
      print ( str(i+1)+" - "+str(cluster)+" - "+Utils.arrayToString(dist))

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