Package | Description |
---|---|
marytts.machinelearning |
Machine learning classes for K-Means clustering, Gaussian Mixture
Models, and manual data generation for testing purposes.
|
marytts.util.math |
Various relatively generic utilities for maths.
|
Modifier and Type | Method and Description |
---|---|
Polynomial[] |
PolynomialCluster.getClusterMembers() |
Polynomial |
PolynomialCluster.getMeanPolynomial() |
Modifier and Type | Method and Description |
---|---|
static PolynomialCluster[] |
PolynomialKMeansClusteringTrainer.train(Polynomial[] polynomials,
KMeansClusteringTrainerParams kmeansParams)
This function clusters polynomials using K-Means clustering procedure, using a polynomial distance function.
|
Constructor and Description |
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PolynomialCluster(Polynomial meanPolynomial,
Polynomial[] clusterMembers) |
PolynomialCluster(Polynomial meanPolynomial,
Polynomial[] clusterMembers) |
PolynomialHierarchicalClusteringTrainer(Polynomial[] polynomials)
Constructor of the Hierarchical trainer
|
Modifier and Type | Method and Description |
---|---|
static Polynomial |
Polynomial.mean(Polynomial[] p)
Compute the mean polynomial from the given polynomials, by building a polynomial of the averaged coefficients.
|
Modifier and Type | Method and Description |
---|---|
void |
Polynomial.copyCoeffs(Polynomial other) |
static Polynomial |
Polynomial.mean(Polynomial[] p)
Compute the mean polynomial from the given polynomials, by building a polynomial of the averaged coefficients.
|
double |
Polynomial.polynomialDistance(Polynomial other)
Compute the integrated distance between two polynomials of same order.
|
double |
Polynomial.polynomialSquaredDistance(Polynomial other)
Compute the integral of the squared difference between two polynomials of same order.
|
static double |
Polynomial.variance(Polynomial[] p,
Polynomial mean)
For the given collection of polynomials, for which a mean polynomial has already been computed using
mean(Polynomial[]) , compute a variance as follows. |
static double |
Polynomial.variance(Polynomial[] p,
Polynomial mean)
For the given collection of polynomials, for which a mean polynomial has already been computed using
mean(Polynomial[]) , compute a variance as follows. |
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