|
Colt 1.0.1 | |||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use Statistic.VectorVectorFunction | |
cern.colt.matrix.doublealgo | Double matrix algorithms such as print formatting, sorting, partitioning and statistics. |
Uses of Statistic.VectorVectorFunction in cern.colt.matrix.doublealgo |
Fields in cern.colt.matrix.doublealgo declared as Statistic.VectorVectorFunction | |
static Statistic.VectorVectorFunction |
EUCLID
Euclidean distance function; Sqrt(Sum( (x[i]-y[i])^2 )). |
static Statistic.VectorVectorFunction |
BRAY_CURTIS
Bray-Curtis distance function; Sum( abs(x[i]-y[i]) ) / Sum( x[i]+y[i] ). |
static Statistic.VectorVectorFunction |
CANBERRA
Canberra distance function; Sum( abs(x[i]-y[i]) / abs(x[i]+y[i]) ). |
static Statistic.VectorVectorFunction |
MAXIMUM
Maximum distance function; Max( abs(x[i]-y[i]) ). |
static Statistic.VectorVectorFunction |
MANHATTAN
Manhattan distance function; Sum( abs(x[i]-y[i]) ). |
Methods in cern.colt.matrix.doublealgo with parameters of type Statistic.VectorVectorFunction | |
static void |
demo3(Statistic.VectorVectorFunction norm)
Demonstrates usage of this class. |
static DoubleMatrix2D |
distance(DoubleMatrix2D matrix,
Statistic.VectorVectorFunction distanceFunction)
Constructs and returns the distance matrix of the given matrix. |
|
Colt 1.0.1 | |||||||||
PREV NEXT | FRAMES NO FRAMES |