/**
* Copyright (c) 2013 Oculus Info Inc.
* http://www.oculusinfo.com/
*
* Released under the MIT License.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy of
* this software and associated documentation files (the "Software"), to deal in
* the Software without restriction, including without limitation the rights to
* use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
* of the Software, and to permit persons to whom the Software is furnished to do
* so, subject to the following conditions:
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
package spimedb.cluster;
import org.junit.Test;
import spimedb.cluster.feature.numeric.NumericVectorFeature;
public class TestNormalization {
@Test
public void test() {
DataSet ds = new DataSet();
for (int i=0; i < 5; i++) {
Instance inst = new Instance();
NumericVectorFeature v = new NumericVectorFeature("v");
v.setValue(new double[] {i, i*10, i*100});
inst.addFeature(v);
ds.add(inst);
}
ds.normalizeInstanceFeature("v");
for (Instance inst : ds) {
NumericVectorFeature v = (NumericVectorFeature)inst.getFeature("v");
double[] vals = v.getValue();
for (int i=0; i < vals.length; i++) {
System.out.print(vals[0] + ", ");
}
System.out.println();
}
}
}