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package de.lmu.ifi.dbs.elki.data;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2015
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
import de.lmu.ifi.dbs.elki.data.spatial.SpatialComparable;
import de.lmu.ifi.dbs.elki.math.linearalgebra.Vector;
import de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.NumberArrayAdapter;
/**
* Interface NumberVector defines the methods that should be implemented by any
* Object that is element of a real vector space of type N.
*
* @author Arthur Zimek
*
* @apiviz.landmark
* @apiviz.has Vector
* @apiviz.exclude de.lmu.ifi.dbs.elki.(datasource.filter|data.projection).*
*/
public interface NumberVector extends FeatureVector<Number>, SpatialComparable {
@Deprecated
@Override
Number getValue(int dimension);
/**
* Returns the value in the specified dimension as double.
*
* Note: this might seem redundant with respect to
* {@code getValue(dim).doubleValue()}, but usually this is much more
* efficient due to boxing/unboxing cost.
*
* @param dimension the desired dimension, where 0 ≤ dimension <
* <code>this.getDimensionality()</code>
* @return the value in the specified dimension
*/
double doubleValue(int dimension);
/**
* Returns the value in the specified dimension as float.
*
* Note: this might seem redundant with respect to
* {@code getValue(dim).floatValue()}, but usually this is much more efficient
* due to boxing/unboxing cost.
*
* @param dimension the desired dimension, where 0 ≤ dimension <
* <code>this.getDimensionality()</code>
* @return the value in the specified dimension
*/
float floatValue(int dimension);
/**
* Returns the value in the specified dimension as int.
*
* Note: this might seem redundant with respect to
* {@code getValue(dim).intValue()}, but usually this is much more efficient
* due to boxing/unboxing cost.
*
* @param dimension the desired dimension, where 0 ≤ dimension <
* <code>this.getDimensionality()</code>
* @return the value in the specified dimension
*/
int intValue(int dimension);
/**
* Returns the value in the specified dimension as long.
*
* Note: this might seem redundant with respect to
* {@code getValue(dim).longValue()}, but usually this is much more efficient
* due to boxing/unboxing cost.
*
* @param dimension the desired dimension, where 0 ≤ dimension <
* <code>this.getDimensionality()</code>
* @return the value in the specified dimension
*/
long longValue(int dimension);
/**
* Returns the value in the specified dimension as short.
*
* Note: this might seem redundant with respect to
* {@code getValue(dim).shortValue()}, but usually this is much more efficient
* due to boxing/unboxing cost.
*
* @param dimension the desired dimension, where 0 ≤ dimension <
* <code>this.getDimensionality()</code>
* @return the value in the specified dimension
*/
short shortValue(int dimension);
/**
* Returns the value in the specified dimension as byte.
*
* Note: this might seem redundant with respect to
* {@code getValue(dim).byteValue()}, but usually this is much more efficient
* due to boxing/unboxing cost.
*
* @param dimension the desired dimension, where 0 ≤ dimension <
* <code>this.getDimensionality()</code>
* @return the value in the specified dimension
*/
byte byteValue(int dimension);
/**
* Returns a Vector representing in one column and
* <code>getDimensionality()</code> rows the values of this NumberVector of V.
*
* @return a Matrix representing in one column and
* <code>getDimensionality()</code> rows the values of this
* NumberVector of V
*/
Vector getColumnVector();
/**
* Factory API for this feature vector.
*
* @author Erich Schubert
*
* @apiviz.has NumberVector
*
* @param <V> Vector type
*/
interface Factory<V extends NumberVector> extends FeatureVector.Factory<V, Number> {
/**
* Returns a new NumberVector of N for the given values.
*
* @param values the values of the NumberVector
* @return a new NumberVector of N for the given values
*/
V newNumberVector(double[] values);
/**
* Returns a new NumberVector of N for the given values.
*
* @param values Existing number vector
* @return a new NumberVector of N for the given values
*/
V newNumberVector(NumberVector values);
/**
* Instantiate from any number-array like object.
*
* @param <A> Array type
* @param array Array
* @param adapter Adapter
* @return a new NumberVector of N for the given values.
*/
<A> V newNumberVector(A array, NumberArrayAdapter<?, ? super A> adapter);
}
}
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