def normalizeRowSingularValues(self, normalizationMethod):
self.normalizationMethod = normalizationMethod
if self.normalizationMethod == 0:
self.normRowMatrix = self.rowSingularValues
elif self.normalizationMethod == 1:
self.normRowMatrix = norm.rowProbabilityNormalization(
self.rowSingularValues)
elif self.normalizationMethod == 2:
self.normRowMatrix = norm.columnProbabilityNormalization(
self.rowSingularValues)
elif self.normalizationMethod == 3:
self.normRowMatrix = norm.lengthRowNormalization(
self.rowSingularValues)
elif self.normalizationMethod == 4:
self.normRowMatrix = norm.zscoreRowsNormalization(
self.rowSingularValues)
elif self.normalizationMethod == 5:
self.normRowMatrix = norm.zscoreColumnsNormalization(
self.rowSingularValues)
elif self.normalizationMethod == 11:
self.normRowMatrix = norm.logRowEntropyNormalization(
self.rowSingularValues)
elif self.normalizationMethod == 12:
self.normRowMatrix = norm.pmiNormalization(self.rowSingularValues)
elif self.normalizationMethod == 13:
self.normRowMatrix = norm.positivePmiNormalization(
self.rowSingularValues)
elif self.normalizationMethod == 14:
self.normRowMatrix = norm.coalsCorrelationNormalization(
self.rowSingularValues)
elif self.normalizationMethod == 15:
self.normRowMatrix = norm.IntegerizeNormalization(
self.rowSingularValues)
def normalizeRowSingularValues(self, normalizationMethod):
self.normalizationMethod = normalizationMethod
if self.normalizationMethod == 0:
self.normRowMatrix = self.rowSingularValues
elif self.normalizationMethod == 1:
self.normRowMatrix = norm.rowProbabilityNormalization(self.rowSingularValues)
elif self.normalizationMethod == 2:
self.normRowMatrix = norm.columnProbabilityNormalization(self.rowSingularValues)
elif self.normalizationMethod == 3:
self.normRowMatrix = norm.lengthRowNormalization(self.rowSingularValues)
elif self.normalizationMethod == 4:
self.normRowMatrix = norm.zscoreRowsNormalization(self.rowSingularValues)
elif self.normalizationMethod == 5:
self.normRowMatrix = norm.zscoreColumnsNormalization(self.rowSingularValues)
elif self.normalizationMethod == 11:
self.normRowMatrix = norm.logRowEntropyNormalization(self.rowSingularValues)
elif self.normalizationMethod == 12:
self.normRowMatrix = norm.pmiNormalization(self.rowSingularValues)
elif self.normalizationMethod == 13:
self.normRowMatrix = norm.positivePmiNormalization(self.rowSingularValues)
elif self.normalizationMethod == 14:
self.normRowMatrix = norm.coalsCorrelationNormalization(self.rowSingularValues)
elif self.normalizationMethod == 15:
self.normRowMatrix = norm.IntegerizeNormalization(self.rowSingularValues)
def normalizeTargetDocumentMatrix(self, normalizationMethod):
self.normalizationMethod = normalizationMethod
if self.normalizationMethod == 0:
self.normalizedTargetDocumentMatrix = self.subTargetFreqs
elif self.normalizationMethod == 1:
self.normalizedTargetDocumentMatrix = norm.rowProbabilityNormalization(
self.subTargetFreqs)
elif self.normalizationMethod == 2:
self.normalizedTargetDocumentMatrix = norm.columnProbabilityNormalization(
self.subTargetFreqs)
elif self.normalizationMethod == 3:
self.normalizedTargetDocumentMatrix = norm.lengthRowNormalization(
self.subTargetFreqs)
elif self.normalizationMethod == 4:
self.normalizedTargetDocumentMatrix = norm.zscoreRowsNormalization(
self.subTargetFreqs)
elif self.normalizationMethod == 5:
self.normalizedTargetDocumentMatrix = norm.zscoreColumnsNormalization(
self.subTargetFreqs)
elif self.normalizationMethod == 11:
self.normalizedTargetDocumentMatrix = norm.logRowEntropyNormalization(
self.subTargetFreqs)
elif self.normalizationMethod == 12:
self.normalizedTargetDocumentMatrix = norm.pmiNormalization(
self.subTargetFreqs)
elif self.normalizationMethod == 13:
self.normalizedTargetDocumentMatrix = norm.positivePmiNormalization(
self.subTargetFreqs)
elif self.normalizationMethod == 14:
self.normalizedTargetDocumentMatrix = norm.coalsCorrelationNormalization(
self.subTargetFreqs)
elif self.normalizationMethod == 14:
self.normalizedTargetDocumentMatrix = norm.integerizeNormalization(
self.subTargetFreqs)
def normalizeTargetDocumentMatrix(self, normalizationMethod):
self.normalizationMethod = normalizationMethod
if self.normalizationMethod == 0:
self.normalizedTargetDocumentMatrix = self.subTargetFreqs
elif self.normalizationMethod == 1:
self.normalizedTargetDocumentMatrix = norm.rowProbabilityNormalization(self.subTargetFreqs)
elif self.normalizationMethod == 2:
self.normalizedTargetDocumentMatrix = norm.columnProbabilityNormalization(self.subTargetFreqs)
elif self.normalizationMethod == 3:
self.normalizedTargetDocumentMatrix = norm.lengthRowNormalization(self.subTargetFreqs)
elif self.normalizationMethod == 4:
self.normalizedTargetDocumentMatrix = norm.zscoreRowsNormalization(self.subTargetFreqs)
elif self.normalizationMethod == 5:
self.normalizedTargetDocumentMatrix = norm.zscoreColumnsNormalization(self.subTargetFreqs)
elif self.normalizationMethod == 11:
self.normalizedTargetDocumentMatrix = norm.logRowEntropyNormalization(self.subTargetFreqs)
elif self.normalizationMethod == 12:
self.normalizedTargetDocumentMatrix = norm.pmiNormalization(self.subTargetFreqs)
elif self.normalizationMethod == 13:
self.normalizedTargetDocumentMatrix = norm.positivePmiNormalization(self.subTargetFreqs)
elif self.normalizationMethod == 14:
self.normalizedTargetDocumentMatrix = norm.coalsCorrelationNormalization(self.subTargetFreqs)
elif self.normalizationMethod == 14:
self.normalizedTargetDocumentMatrix = norm.integerizeNormalization(self.subTargetFreqs)
def normalizeRowTopicMatrix(self, normalizationMethod):
print normalizationMethod
self.normalizationMethod = normalizationMethod
self.rowTopic_Matrix = self.rowTopic_Matrix + self.beta
if normalizationMethod == 0:
pass
if normalizationMethod == 1:
self.rowTopic_Matrix = norm.rowProbabilityNormalization(
self.rowTopic_Matrix)
elif normalizationMethod == 2:
self.rowTopic_Matrix = norm.columnProbabilityNormalization(
self.rowTopic_Matrix)
elif normalizationMethod == 3:
self.rowTopic_Matrix = norm.lengthRowNormalization(
self.rowTopic_Matrix)
elif normalizationMethod == 4:
self.rowTopic_Matrix = norm.zscoreRowsNormalization(
self.rowTopic_Matrix)
elif normalizationMethod == 5:
self.rowTopic_Matrix = norm.zscoreColumnsNormalization(
self.rowTopic_Matrix)
elif normalizationMethod == 11:
self.rowTopic_Matrix = norm.logRowEntropyNormalization(
self.rowTopic_Matrix)
elif normalizationMethod == 12:
self.rowTopic_Matrix = norm.pmiNormalization(self.rowTopic_Matrix)
elif normalizationMethod == 13:
self.rowTopic_Matrix = norm.positivePmiNormalization(
self.rowTopic_Matrix)
elif normalizationMethod == 14:
self.rowTopic_Matrix = norm.coalsCorrelationNormalization(
self.rowTopic_Matrix)
def normalizeRowTopicMatrix(self, normalizationMethod):
print normalizationMethod
self.normalizationMethod = normalizationMethod
self.rowTopic_Matrix = self.rowTopic_Matrix + self.beta
if normalizationMethod == 0:
pass
if normalizationMethod == 1:
self.rowTopic_Matrix = norm.rowProbabilityNormalization(self.rowTopic_Matrix)
elif normalizationMethod == 2:
self.rowTopic_Matrix = norm.columnProbabilityNormalization(self.rowTopic_Matrix)
elif normalizationMethod == 3:
self.rowTopic_Matrix = norm.lengthRowNormalization(self.rowTopic_Matrix)
elif normalizationMethod == 4:
self.rowTopic_Matrix = norm.zscoreRowsNormalization(self.rowTopic_Matrix)
elif normalizationMethod == 5:
self.rowTopic_Matrix = norm.zscoreColumnsNormalization(self.rowTopic_Matrix)
elif normalizationMethod == 11:
self.rowTopic_Matrix = norm.logRowEntropyNormalization(self.rowTopic_Matrix)
elif normalizationMethod == 12:
self.rowTopic_Matrix = norm.pmiNormalization(self.rowTopic_Matrix)
elif normalizationMethod == 13:
self.rowTopic_Matrix = norm.positivePmiNormalization(self.rowTopic_Matrix)
elif normalizationMethod == 14:
self.rowTopic_Matrix = norm.coalsCorrelationNormalization(self.rowTopic_Matrix)