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Packages that use Matrix | |
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de.aitools.aq.algebra | |
de.aitools.aq.algebra.matrix | |
de.aitools.dm.clustering.validation | |
de.aitools.dm.clustering.validation.external |
Uses of Matrix in de.aitools.aq.algebra |
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Methods in de.aitools.aq.algebra that return Matrix | |
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static Matrix |
Algebra.computeContingencyTable(int[] classAssignment,
int[] clusterAssignment)
Contingency table for comparing two partitions. |
static Matrix |
Algebra.computePairwiseContingencyTable(Matrix contingencyTable)
Pairwise contingency table. |
static Matrix |
Algebra.toMatrix(int[] assignment)
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Methods in de.aitools.aq.algebra with parameters of type Matrix | |
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static Matrix |
Algebra.computePairwiseContingencyTable(Matrix contingencyTable)
Pairwise contingency table. |
static double[] |
Algebra.getColumnSums(Matrix matrix)
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static double[] |
Algebra.getRowSums(Matrix matrix)
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Uses of Matrix in de.aitools.aq.algebra.matrix |
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Classes in de.aitools.aq.algebra.matrix that implement Matrix | |
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class |
DenseMatrix
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class |
SparseMatrix
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Uses of Matrix in de.aitools.dm.clustering.validation |
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Methods in de.aitools.dm.clustering.validation with parameters of type Matrix | |
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abstract double |
ExternalValidationMeasure.measure(Matrix contingencyTable)
Perform consecutive clustering evaluations in a more efficient manner. |
Uses of Matrix in de.aitools.dm.clustering.validation.external |
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Methods in de.aitools.dm.clustering.validation.external with parameters of type Matrix | |
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double |
Completeness.measure(Matrix contingencyTable)
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double |
FMeasure.measure(Matrix contingencyTable)
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double |
VariationOfInformation.measure(Matrix contingencyTable)
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double |
FolkesMallows.measure(Matrix contingencyTable)
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double |
BCubedPrecision.measure(Matrix contingencyTable)
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double |
BCubedRecall.measure(Matrix contingencyTable)
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double |
Q.measure(Matrix contingencyTable)
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double |
Homogeneity.measure(Matrix contingencyTable)
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double |
VMeasure.measure(Matrix contingencyTable)
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double |
InversePurity.measure(Matrix contingencyTable)
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double |
NormalizedEntropy.measure(Matrix contingencyTable)
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double |
AdjustedRandIndex.measure(Matrix contingencyTable)
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double |
Purity.measure(Matrix contingencyTable)
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double |
JaccardCoefficient.measure(Matrix contingencyTable)
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double |
RandIndex.measure(Matrix contingencyTable)
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double |
MisclassificationIndex.measure(Matrix contingencyTable)
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double |
Q.Q_Zero(Matrix contingencyTable)
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