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source: branches/RBFRegression/HeuristicLab.Algorithms.DataAnalysis/3.4/TSNE/Distances/EuclideanDistance.cs @ 14870

Last change on this file since 14870 was 14784, checked in by gkronber, 8 years ago

#2700 fixed build fail

File size: 2.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Common;
26using HeuristicLab.Core;
27using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
28
29namespace HeuristicLab.Algorithms.DataAnalysis {
30  [StorableClass]
31  [Item("EuclideanDistance", "A norm function that uses Euclidean distance")]
32  public class EuclideanDistance : DistanceBase<IEnumerable<double>> {
33
34    #region HLConstructors & Boilerplate
35    [StorableConstructor]
36    protected EuclideanDistance(bool deserializing) : base(deserializing) { }
37    protected EuclideanDistance(EuclideanDistance original, Cloner cloner) : base(original, cloner) { }
38    public override IDeepCloneable Clone(Cloner cloner) { return new EuclideanDistance(this, cloner); }
39    public EuclideanDistance() { }
40    #endregion
41
42    public static double GetDistance(double[] point1, double[] point2) {
43      if (point1.Length != point2.Length) throw new ArgumentException("Euclidean distance not defined on vectors of different length");
44      return Math.Sqrt(point1.Zip(point2, (a1, b1) => (a1 - b1) * (a1 - b1)).Sum());
45    }
46
47    public override double Get(IEnumerable<double> a, IEnumerable<double> b) {
48      return GetDistance(a.ToArray(), b.ToArray());
49    }
50  }
51}
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