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source: branches/PerformanceComparison/HeuristicLab.Algorithms.DataAnalysis/3.4/Interfaces/TSNEInterfaces/IKernelFunction.cs @ 14713

Last change on this file since 14713 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: 1.4 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
22
23namespace HeuristicLab.Algorithms.DataAnalysis {
24  public interface IKernelFunction<in T> : ICovarianceFunction {
25    /// <summary>
26    /// Calculates a kernel measure between two aribitrary Vectors. The distance value d is
27    /// 1.) positive  d(x,y)>0
28    /// 2.) symmetric d(x,y) = d(y,x)
29    /// 3.) only dependent on the norm ||x-y|| (Radial Basis criterium)
30    /// </summary>
31    /// <param name="a">an array representing point x</param>
32    /// <param name="b">>an array representing point y</param>
33    /// <returns>d(x,y)</returns>
34    double Get(T a, T b);
35  }
36}
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