#region License Information
/* HeuristicLab
* Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Algorithms.DataAnalysis {
[StorableClass]
[Item("ManhattanDistance", "A distance function that uses block distance")]
public class ManhattanDistance : DistanceBase> {
#region HLConstructors & Boilerplate
[StorableConstructor]
protected ManhattanDistance(bool deserializing) : base(deserializing) { }
[StorableHook(HookType.AfterDeserialization)]
private void AfterDeserialization() { }
protected ManhattanDistance(ManhattanDistance original, Cloner cloner)
: base(original, cloner) { }
public ManhattanDistance() { }
public override IDeepCloneable Clone(Cloner cloner) {
return new ManhattanDistance(this, cloner);
}
#endregion
public static double GetDistance(double[] point1, double[] point2) {
if (point1.Length != point2.Length) throw new ArgumentException("Manhattan distance not defined on vectors of different length");
return point1.Zip(point2, (a1, b1) => Math.Abs(a1 - b1)).Sum();
}
public override double Get(IEnumerable a, IEnumerable b) {
return GetDistance(a.ToArray(), b.ToArray());
}
}
}