source: branches/2839_HiveProjectManagement/HeuristicLab.Algorithms.DataAnalysis/3.4/TSNE/Distances/ManhattanDistance.cs @ 16057

Last change on this file since 16057 was 16057, checked in by jkarder, 16 months ago

#2839:

File size: 2.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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("ManhattanDistance", "A distance function that uses block distance")]
32  public class ManhattanDistance : DistanceBase<IEnumerable<double>> {
33    #region HLConstructors & Cloning
34    [StorableConstructor]
35    protected ManhattanDistance(bool deserializing) : base(deserializing) { }
36    [StorableHook(HookType.AfterDeserialization)]
37    private void AfterDeserialization() { }
38    protected ManhattanDistance(ManhattanDistance original, Cloner cloner)
39      : base(original, cloner) { }
40    public ManhattanDistance() { }
41    public override IDeepCloneable Clone(Cloner cloner) {
42      return new ManhattanDistance(this, cloner);
43    }
44    #endregion
45
46    public static double GetDistance(IEnumerable<double> point1, IEnumerable<double> point2) {
47      using (IEnumerator<double> p1Enum = point1.GetEnumerator(), p2Enum = point2.GetEnumerator()) {
48        var sum = 0.0;
49        while (p1Enum.MoveNext() & p2Enum.MoveNext())
50          sum += Math.Abs(p1Enum.Current - p2Enum.Current);
51        if (p1Enum.MoveNext() || p2Enum.MoveNext()) throw new ArgumentException("Manhattan distance not defined on vectors of different length");
52        return sum;
53      }
54    }
55
56    public override double Get(IEnumerable<double> a, IEnumerable<double> b) {
57      return GetDistance(a, b);
58    }
59  }
60}
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