|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||
| Packages that use PVector | |
|---|---|
| edu.umd.cloud9.example.clustering | |
| Uses of PVector in edu.umd.cloud9.example.clustering |
|---|
| Fields in edu.umd.cloud9.example.clustering declared as PVector | |
|---|---|
PVector[] |
UnivariateGaussianMixtureModel.param
|
| Methods in edu.umd.cloud9.example.clustering that return PVector | |
|---|---|
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$. |
PVector |
PVector.times(double lambda)
|
| Methods in edu.umd.cloud9.example.clustering with parameters of type PVector | |
|---|---|
static double |
UnivariateGaussianMixtureModel.densityOfGaussian(Point x,
PVector param)
Computes the density value \f$ 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)
|
|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||