| Package | Description |
|---|---|
| edu.umd.cloud9.example.clustering |
| Modifier and Type | Field and Description |
|---|---|
PVector[] |
UnivariateGaussianMixtureModel.param |
| Modifier and Type | Method and Description |
|---|---|
PVector |
PVector.clone()
Creates and returns a copy of the instance.
|
PVector |
PVector.minus(PVector v2) |
PVector |
PVector.plus(PVector v2) |
static PVector |
PVector.sampleRandomDistribution(int dim)
Generates of a random vector \f$ v = (x_1, x_2, \cdots )\f$ where each component is drawn
uniformly in \f$ \mathcal{U}(0,1)\f$.
|
static PVector |
PVector.sampleRandomVector(int dim)
Generates of a random vector \f$ v = (x_1, x_2, \cdots )\f$ where each component is drawn
uniformly in \f$ \mathcal{U}(0,1)\f$.
|
PVector |
PVector.times(double lambda) |
| Modifier and Type | Method and Description |
|---|---|
static double |
UnivariateGaussianMixtureModel.densityOfGaussian(Point x,
PVector param)
Computes the density value \f$ f(x;\mu,\sigma^2) \f$.
|
double |
PVector.dot(PVector v2) |
static Point |
UnivariateGaussianMixtureModel.drawRandomPointFromGaussian(PVector L)
Draws a point from the considered distribution.
|
static boolean |
PVector.equals(PVector v1,
PVector v2)
Verifies if two vectors are similar.
|
PVector |
PVector.minus(PVector v2) |
PVector |
PVector.plus(PVector v2) |
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