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source: branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/ClusteringModel.cs @ 5728

Last change on this file since 5728 was 5649, checked in by gkronber, 14 years ago

#1418 Implemented classes for classification based on a discriminant function and thresholds and implemented interfaces and base classes for clustering.

File size: 1.8 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.IO;
25using System.Linq;
26using System.Text;
27using HeuristicLab.Common;
28using HeuristicLab.Core;
29using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
30using HeuristicLab.Problems.DataAnalysis;
31using System.Drawing;
32
33namespace HeuristicLab.Problems.DataAnalysis {
34  /// <summary>
35  /// Represents a general clustering model.
36  /// </summary>
37  [StorableClass]
38  [Item("ClusteringModel", "Represents a general clustering model.")]
39  public abstract class ClusteringModel : DataAnalysisModel, IClusteringModel {
40    [StorableConstructor]
41    protected ClusteringModel(bool deserializing) : base(deserializing) { }
42    protected ClusteringModel(ClusteringModel original, Cloner cloner)
43      : base(original, cloner) {
44    }
45    public ClusteringModel()
46      : base() {
47    }
48
49    public abstract IEnumerable<double> GetClusterValues(Dataset dataset, IEnumerable<int> rows);
50  }
51}
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