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| 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 |
Statistic.EUCLID
Euclidean distance function; Sqrt(Sum( (x[i]-y[i])^2 )). |
static Statistic.VectorVectorFunction |
Statistic.BRAY_CURTIS
Bray-Curtis distance function; Sum( abs(x[i]-y[i]) ) / Sum( x[i]+y[i] ). |
static Statistic.VectorVectorFunction |
Statistic.CANBERRA
Canberra distance function; Sum( abs(x[i]-y[i]) / abs(x[i]+y[i]) ). |
static Statistic.VectorVectorFunction |
Statistic.MAXIMUM
Maximum distance function; Max( abs(x[i]-y[i]) ). |
static Statistic.VectorVectorFunction |
Statistic.MANHATTAN
Manhattan distance function; Sum( abs(x[i]-y[i]) ). |
| Methods in cern.colt.matrix.doublealgo with parameters of type Statistic.VectorVectorFunction | |
static void |
Statistic.demo3(Statistic.VectorVectorFunction norm)
Demonstrates usage of this class. |
static DoubleMatrix2D |
Statistic.distance(DoubleMatrix2D matrix,
Statistic.VectorVectorFunction distanceFunction)
Constructs and returns the distance matrix of the given matrix. |
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