source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Clustering/ClusteringSolution.cs @ 6411

Last change on this file since 6411 was 6411, checked in by mkommend, 11 years ago

#1506: Restructured calculation of results in IDataAnalysisSolutions and fixed bug in SymbolicDiscriminantClassisificationEstimatedValuesView.

File size: 2.7 KB
Line 
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.Collections.Generic;
23using System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Problems.DataAnalysis {
28  /// <summary>
29  /// Represents a clustering data analysis solution
30  /// </summary>
31  [StorableClass]
32  public class ClusteringSolution : DataAnalysisSolution, IClusteringSolution {
33
34    [StorableConstructor]
35    protected ClusteringSolution(bool deserializing) : base(deserializing) { }
36    protected ClusteringSolution(ClusteringSolution original, Cloner cloner)
37      : base(original, cloner) {
38    }
39    public ClusteringSolution(IClusteringModel model, IClusteringProblemData problemData)
40      : base(model, problemData) {
41    }
42
43    public override IDeepCloneable Clone(Cloner cloner) {
44      return new ClusteringSolution(this, cloner);
45    }
46
47    protected override void RecalculateResults() {
48    }
49
50    #region IClusteringSolution Members
51
52    public new IClusteringModel Model {
53      get { return (IClusteringModel)base.Model; }
54      set { base.Model = value; }
55    }
56
57    public new IClusteringProblemData ProblemData {
58      get { return (IClusteringProblemData)base.ProblemData; }
59      set { base.ProblemData = value; }
60    }
61
62    public virtual IEnumerable<int> ClusterValues {
63      get {
64        return GetClusterValues(Enumerable.Range(0, ProblemData.Dataset.Rows));
65      }
66    }
67
68    public virtual IEnumerable<int> TrainingClusterValues {
69      get {
70        return GetClusterValues(ProblemData.TrainingIndizes);
71      }
72    }
73
74    public virtual IEnumerable<int> TestClusterValues {
75      get {
76        return GetClusterValues(ProblemData.TestIndizes);
77      }
78    }
79
80    public virtual IEnumerable<int> GetClusterValues(IEnumerable<int> rows) {
81      return Model.GetClusterValues(ProblemData.Dataset, rows);
82    }
83    #endregion
84  }
85}
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