def runOnSynth():
#reads data and parses first file in folder
sd = readSynthetic(synthData[0])
#Running kcenterOut on the data
kcent = kco.kcentersOut(sd.data, sd.k, sd.s)
ans = kcent.kcentersOut()
printSD(sd)
kc.kCCost(sd.data, ans, sd.s)
def computeKCoutliers(synthD):
num = 0
stats = []
for f in synthD:
#reads data and parses first file in folder
sd = readSynthetic(f)
print("Iteration:", num)
num += 1
for j in range(int(sd.k / 2)):
sd.runk = sd.k + j
precs = []
recs = []
for i in range(5):
#Running kcenterOut on the data
kcent = kco.kcentersOut(sd.data, sd.runk, sd.s)
ans = kcent.kcentersOut()
#Computing cost
sd.costs.append(kc.kCCost(sd.data, ans, sd.s))
prec, rec = kc.kCPrecRecall(sd, ans)
precs.append(prec)
recs.append(rec)
sd.precs = precs
sd.recs = recs
#example for adding extra stats, i.e. time. For headers, go to top
sd.extrastats = [
mean(np.array(precs)),
max(precs),
mean(np.array(recs)),
max(recs)
]
printSD(sd)
stats = addAnswer(stats, sd)
sd.costs = []
return stats
def sampleReadData():
dataSynth = get_csv(synthData[0])
kcent = kco.kcentersOut(dataSynth, 10, 10.0)
ans = kcent.kcentersOut()
print(ans)