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source: branches/RBFRegression/HeuristicLab.Algorithms.DataAnalysis/3.4/KernelRidgeRegression/Distances/ManhattanDistance.cs @ 14884

Last change on this file since 14884 was 14500, checked in by gkronber, 7 years ago

#2699: fixed a small typo and added .sln file while reviewing

File size: 2.7 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("ManhattanDistance", "A distance function that uses block distance")]
32  public class ManhattanDistance : DistanceBase<IEnumerable<double>> {
33
34    #region HLConstructors & Boilerplate
35    [StorableConstructor]
36    protected ManhattanDistance(bool deserializing) : base(deserializing) { }
37    [StorableHook(HookType.AfterDeserialization)]
38    private void AfterDeserialization() { }
39    protected ManhattanDistance(ManhattanDistance original, Cloner cloner)
40      : base(original, cloner) { }
41    public ManhattanDistance() { }
42    public override IDeepCloneable Clone(Cloner cloner) {
43      return new ManhattanDistance(this, cloner);
44    }
45    #endregion
46
47    public static double GetDistance(double[] point1, double[] point2) {
48      if (point1.Length != point2.Length) throw new ArgumentException("Manhattan distance not defined on vectors of different length");
49      return point1.Zip(point2, (a1, b1) => Math.Abs(a1 - b1)).Sum();
50    }
51
52    public static double GetDistance(IEnumerable<double> a, IEnumerable<double> b, double threshold) {
53      double sum = 0;
54      var it1 = a.GetEnumerator();
55      var it2 = b.GetEnumerator();
56      while (sum > threshold && it1.MoveNext() && it2.MoveNext()) {
57        sum += Math.Abs(it1.Current - it2.Current);
58      }
59      it1.Dispose();
60      it2.Dispose();
61      return sum;
62    }
63
64    public override double Get(IEnumerable<double> a, IEnumerable<double> b) {
65      return GetDistance(a.ToArray(), b.ToArray());
66    }
67
68    public override double Get(IEnumerable<double> a, IEnumerable<double> b, double threshold) {
69      return GetDistance(a, b, threshold);
70    }
71
72
73  }
74}
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