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source: trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/TSNE/Distances/IDistance.cs @ 17313

Last change on this file since 17313 was 17180, checked in by swagner, 5 years ago

#2875: Removed years in copyrights

File size: 1.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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.Collections;
23using System.Collections.Generic;
24using HEAL.Attic;
25using HeuristicLab.Core;
26
27namespace HeuristicLab.Algorithms.DataAnalysis {
28  [StorableType("168066b5-a14b-4d87-b3fb-6bac363e9c98")]
29  public interface IDistance<in T> : IDistance {
30    /// <summary>
31    /// Calculates a distance measure between two objects.
32    /// 1.) non-negative d(x,y) >= 0
33    /// 2.) symmetric d(x,y) = d(y,x)
34    /// 3.) zero-reflexive d(x,x) = 0;
35    /// </summary>
36    /// <returns>d(x,y)</returns>
37    double Get(T x, T y);
38
39    /// <summary>
40    /// Returns a comparator wich compares the distances to item. (allows for sorting nearest/farthest neighbours)
41    /// </summary>
42    /// <param name="item"></param>
43    /// <returns></returns>
44    IComparer<T> GetDistanceComparer(T item);
45  }
46
47  [StorableType("3e44c812-79ad-404d-95e9-8d9c3467110c")]
48  public interface IDistance : IItem {
49    double Get(object x, object y);
50    IComparer GetDistanceComparer(object item);
51  }
52}
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