def main():
#first run the initializer to get starting centroids
filePath = '//home//mike-bowles//pyWorkspace//mapReducers//src//mr_GMixEm//inputWide.txt'
mrJob = MrGMixEmInit(args=[filePath])
with mrJob.make_runner() as runner:
runner.run()
#pull out the centroid values to compare with values after one iteration
emPath = "//home//mike-bowles//pyWorkspace//mapReducers//src//mr_GMixEm//intermediateResults.txt"
fileIn = open(emPath)
paramJson = fileIn.read()
fileIn.close()
delta = 10
#Begin iteration on change in centroids
while delta > 0.01:
#parse old centroid values
oldParam = json.loads(paramJson)
#run one iteration
oldMeans = oldParam[1]
mrJob2 = MrGMixEm(args=[filePath])
with mrJob2.make_runner() as runner:
runner.run()
#compare new centroids to old ones
fileIn = open(emPath)
paramJson = fileIn.read()
fileIn.close()
newParam = json.loads(paramJson)
k_means = len(newParam[1])
newMeans = newParam[1]
delta = 0.0
for i in range(k_means):
delta += dist(newMeans[i],oldMeans[i])
print delta
def main():
#first run the initializer to get starting centroids
filePath = '//home//mike-bowles//pyWorkspace//mapReducers//src//mr_GMixEm//inputWide.txt'
mrJob = MrGMixEmInit(args=[filePath])
with mrJob.make_runner() as runner:
runner.run()
#pull out the centroid values to compare with values after one iteration
emPath = "//home//mike-bowles//pyWorkspace//mapReducers//src//mr_GMixEm//intermediateResults.txt"
fileIn = open(emPath)
paramJson = fileIn.read()
fileIn.close()
delta = 10
#Begin iteration on change in centroids
while delta > 0.01:
#parse old centroid values
oldParam = json.loads(paramJson)
#run one iteration
oldMeans = oldParam[1]
mrJob2 = MrGMixEm(args=[filePath])
with mrJob2.make_runner() as runner:
runner.run()
#compare new centroids to old ones
fileIn = open(emPath)
paramJson = fileIn.read()
fileIn.close()
newParam = json.loads(paramJson)
k_means = len(newParam[1])
newMeans = newParam[1]
delta = 0.0
for i in range(k_means):
delta += dist(newMeans[i],oldMeans[i])
print delta
def main():
#data path parameters
filePath = os.getcwd() + "/data/"
inputDataName = "input.txt" #the dataset you want to rung clustering
intermediateDataName = "intermediateResults.txt" #intermediate file for EM
canopyList = "canopylist.txt" # list of canopy centers
#canopyCentroidAssign="canopyCentroidAssign.txt"
print 'Canopy-EM cluster by CanEM Team'
#Generate Canopies
print 'Generating Canopies...'
#canopyforEM=[]
mrJob0 = MrCanopy(args=[filePath + inputDataName])
with mrJob0.make_runner() as runner:
runner.run()
for line in runner.stream_output():
key, value = mrJob0.parse_output_line(
line) #only one key; so only one line
#canopyforEM.append(value)
#write canopies to file
canOut = json.dumps(value)
fileOut = open(filePath + canopyList, 'w')
fileOut.write(canOut)
fileOut.close()
#Run the EM initializer to get starting centroids
print 'Initializing...'
mrJob = MrGMixEmInit(args=[filePath + inputDataName])
with mrJob.make_runner() as runner:
runner.run()
#pull out the centroid values to compare with values after one iteration
fileIn = open(filePath + intermediateDataName)
paramJson = fileIn.read()
fileIn.close()
delta = 10
#Begin iteration on change in centroids
print 'Iterating...'
while delta > 0.01:
# #assign centroid to canopy
# mrJob3 = MrAssignCentToCan(args=[filePath+intermediateDataName])
# with mrJob3.make_runner() as runner:
# runner.run()
#
#parse old centroid values
oldParam = json.loads(paramJson)
#run one iteration
oldMeans = oldParam[1]
mrJob2 = MrGMixEm(args=[filePath + inputDataName])
with mrJob2.make_runner() as runner:
runner.run()
#compare new centroids to old ones
fileIn = open(filePath + intermediateDataName)
paramJson = fileIn.read()
fileIn.close()
newParam = json.loads(paramJson)
k_means = len(newParam[1])
newMeans = newParam[1]
delta = 0.0
for i in range(k_means):
delta += dist(newMeans[i], oldMeans[i])
print delta
def main():
#data path parameters
filePath = os.getcwd() + "/data/"
inputDataName="input.txt" #the dataset you want to rung clustering
intermediateDataName="intermediateResults.txt" #intermediate file for EM
canopyList="canopylist.txt" # list of canopy centers
#canopyCentroidAssign="canopyCentroidAssign.txt"
print 'Canopy-EM cluster by CanEM Team'
#Generate Canopies
print 'Generating Canopies...'
#canopyforEM=[]
mrJob0 = MrCanopy(args=[filePath+inputDataName])
with mrJob0.make_runner() as runner:
runner.run()
for line in runner.stream_output():
key, value = mrJob0.parse_output_line(line) #only one key; so only one line
#canopyforEM.append(value)
#write canopies to file
canOut = json.dumps(value)
fileOut = open(filePath+canopyList,'w')
fileOut.write(canOut)
fileOut.close()
#Run the EM initializer to get starting centroids
print 'Initializing...'
mrJob = MrGMixEmInit(args=[filePath+inputDataName])
with mrJob.make_runner() as runner:
runner.run()
#pull out the centroid values to compare with values after one iteration
fileIn = open(filePath+intermediateDataName)
paramJson = fileIn.read()
fileIn.close()
delta = 10
#Begin iteration on change in centroids
print 'Iterating...'
while delta > 0.01:
# #assign centroid to canopy
# mrJob3 = MrAssignCentToCan(args=[filePath+intermediateDataName])
# with mrJob3.make_runner() as runner:
# runner.run()
#
#parse old centroid values
oldParam = json.loads(paramJson)
#run one iteration
oldMeans = oldParam[1]
mrJob2 = MrGMixEm(args=[filePath+inputDataName])
with mrJob2.make_runner() as runner:
runner.run()
#compare new centroids to old ones
fileIn = open(filePath+intermediateDataName)
paramJson = fileIn.read()
fileIn.close()
newParam = json.loads(paramJson)
k_means = len(newParam[1])
newMeans = newParam[1]
delta = 0.0
for i in range(k_means):
delta += dist(newMeans[i],oldMeans[i])
print delta
