#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()); } } }