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| Packages that use FloatStatistic.VectorVectorFunction | |
|---|---|
| cern.colt.matrix.tfloat.algo | Linear Algebraic matrix computations operating on FloatMatrix2D
and FloatMatrix1D. |
| Uses of FloatStatistic.VectorVectorFunction in cern.colt.matrix.tfloat.algo |
|---|
| Fields in cern.colt.matrix.tfloat.algo declared as FloatStatistic.VectorVectorFunction | |
|---|---|
static FloatStatistic.VectorVectorFunction |
FloatStatistic.BRAY_CURTIS
Bray-Curtis distance function; Sum( abs(x[i]-y[i]) ) / Sum( x[i]+y[i] ). |
static FloatStatistic.VectorVectorFunction |
FloatStatistic.CANBERRA
Canberra distance function; Sum( abs(x[i]-y[i]) / abs(x[i]+y[i]) ). |
static FloatStatistic.VectorVectorFunction |
FloatStatistic.EUCLID
Euclidean distance function; Sqrt(Sum( (x[i]-y[i])^2 )). |
static FloatStatistic.VectorVectorFunction |
FloatStatistic.MANHATTAN
Manhattan distance function; Sum( abs(x[i]-y[i]) ). |
static FloatStatistic.VectorVectorFunction |
FloatStatistic.MAXIMUM
Maximum distance function; Max( abs(x[i]-y[i]) ). |
| Methods in cern.colt.matrix.tfloat.algo with parameters of type FloatStatistic.VectorVectorFunction | |
|---|---|
static void |
FloatStatistic.demo3(FloatStatistic.VectorVectorFunction norm)
Demonstrates usage of this class. |
static FloatMatrix2D |
FloatStatistic.distance(FloatMatrix2D matrix,
FloatStatistic.VectorVectorFunction distanceFunction)
Constructs and returns the distance matrix of the given matrix. |
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