def consensusCDF(self,K, matrix):
self.count = 0
lEN = len(matrix)
Sum = 0
Denominator = (lEN*(lEN-1))/2
CDF = dict()
matrix = np.tril(matrix)
for c in self.HistogramValues.keys():
Sum = 0
for cumalativeC in self.HistogramValues.keys():
if cumalativeC <= c:
Sum += self.HistogramValues[cumalativeC]
CDF[c] = Sum/Denominator
self.GlobalCDF[K] = copy.deepcopy(CDF)
del lEN, matrix
communityDetectionEngine.py 文件源码
python
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