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source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/Clustering/ClusteringSolutionEstimatedClusterView.cs @ 6593

Last change on this file since 6593 was 6003, checked in by gkronber, 14 years ago

#1455 fixed bug in estimated values view for clustering solutions and added a view for kMeans clustering models showing the cluster centers.

File size: 4.0 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
21using System;
22using System.Linq;
23using System.Windows.Forms;
24using HeuristicLab.Core.Views;
25using HeuristicLab.Data;
26using HeuristicLab.Data.Views;
27using HeuristicLab.MainForm;
28using HeuristicLab.MainForm.WindowsForms;
29
30namespace HeuristicLab.Problems.DataAnalysis.Views {
31  [View("Estimated Clusters")]
32  [Content(typeof(IClusteringSolution))]
33  public partial class ClusteringSolutionEstimatedClusterView : ItemView, IClusteringSolutionEvaluationView {
34    private const string CLUSTER_NAMES = "Cluster";
35
36    public new IClusteringSolution Content {
37      get { return (IClusteringSolution)base.Content; }
38      set {
39        base.Content = value;
40      }
41    }
42
43    private StringConvertibleMatrixView matrixView;
44
45    public ClusteringSolutionEstimatedClusterView()
46      : base() {
47      InitializeComponent();
48      matrixView = new StringConvertibleMatrixView();
49      matrixView.ShowRowsAndColumnsTextBox = false;
50      matrixView.ShowStatisticalInformation = false;
51      matrixView.Dock = DockStyle.Fill;
52      this.Controls.Add(matrixView);
53    }
54
55    #region events
56    protected override void RegisterContentEvents() {
57      base.RegisterContentEvents();
58      Content.ModelChanged += new EventHandler(Content_ModelChanged);
59      Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
60    }
61
62    protected override void DeregisterContentEvents() {
63      base.DeregisterContentEvents();
64      Content.ModelChanged -= new EventHandler(Content_ModelChanged);
65      Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
66    }
67
68    private void Content_ProblemDataChanged(object sender, EventArgs e) {
69      OnContentChanged();
70    }
71
72    private void Content_ModelChanged(object sender, EventArgs e) {
73      OnContentChanged();
74    }
75
76    protected override void OnContentChanged() {
77      base.OnContentChanged();
78      UpdateClusterValues();
79    }
80
81    private void UpdateClusterValues() {
82      if (InvokeRequired) Invoke((Action)UpdateClusterValues);
83      else {
84        DoubleMatrix matrix = null;
85        if (Content != null) {
86          int[] clusters = Content.Model.GetClusterValues(Content.ProblemData.Dataset, Enumerable.Range(0, Content.ProblemData.Dataset.Rows)).ToArray();
87          var dataset = Content.ProblemData.Dataset;
88          int columns = Content.ProblemData.AllowedInputVariables.Count() + 1;
89          var columnsIndixes = Content.ProblemData.AllowedInputVariables.Select(x => dataset.GetVariableIndex(x)).ToList();
90
91          double[,] values = new double[dataset.Rows, columns];
92          for (int row = 0; row < dataset.Rows; row++) {
93            values[row, 0] = clusters[row];
94
95            int column = 1;
96            foreach (int columnIndex in columnsIndixes) {
97              values[row, column] = dataset[row, columnIndex];
98              column++;
99            }
100          }
101
102          matrix = new DoubleMatrix(values);
103          var columnNames = Content.ProblemData.AllowedInputVariables.ToList();
104          columnNames.Insert(0, CLUSTER_NAMES);
105          matrix.ColumnNames = columnNames;
106        }
107        matrixView.Content = matrix;
108      }
109    }
110    #endregion
111  }
112}
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