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source: branches/TSNE/HeuristicLab.Algorithms.DataAnalysis/3.4/Distances/ManhattenDistance.cs @ 14678

Last change on this file since 14678 was 14512, checked in by bwerth, 8 years ago

#2700 worked in several comments from mkommend, extended analysis during algorithm run, added more Distances, made algorithm stoppable

File size: 2.6 KB
RevLine 
[14512]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.Problems.SurrogateProblem {
30  [StorableClass]
31  [Item("ManhattenDistance", "A distance function that uses Block distance")]
32  public class ManhattenDistance : DistanceBase<IReadOnlyList<double>> {
33
34    #region HLConstructors
35    [StorableConstructor]
36    protected ManhattenDistance(bool deserializing) : base(deserializing) { }
37    protected ManhattenDistance(ManhattenDistance original, Cloner cloner)
38      : base(original, cloner) { }
39    public ManhattenDistance() { }
40    public override IDeepCloneable Clone(Cloner cloner) {
41      return new ManhattenDistance(this, cloner);
42    }
43    #endregion
44
45    public static double GetDistance(IReadOnlyList<double> point1, IReadOnlyList<double> point2) {
46      if (point1.Count != point2.Count) throw new ArgumentException("Manhatten distance not defined on vectors of different length");
47      return point1.Zip(point2, (a1, b1) => Math.Abs(a1 - b1)).Sum();
48    }
49
50    public static double GetDistance(IEnumerable<double> a, IEnumerable<double> b, double threshold) {
51      double sum = 0;
52      var it1 = a.GetEnumerator();
53      var it2 = b.GetEnumerator();
54      while (sum > threshold && it1.MoveNext() && it2.MoveNext()) {
55        sum += Math.Abs(it1.Current - it2.Current);
56      }
57      it1.Dispose();
58      it2.Dispose();
59      return sum;
60    }
61
62    public override double Get(IReadOnlyList<double> a, IReadOnlyList<double> b) {
63      return GetDistance(a, b);
64    }
65
66    public override double Get(IReadOnlyList<double> a, IReadOnlyList<double> b, double threshold) {
67      return GetDistance(a, b, threshold);
68    }
69
70
71  }
72}
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