- Timestamp:
- 01/28/19 13:41:42 (5 years ago)
- Location:
- trunk
- Files:
-
- 4 edited
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trunk
- Property svn:mergeinfo changed
/branches/2520_PersistenceReintegration (added) merged: 16451-16454,16462,16465-16468,16470-16472,16474,16476-16477,16479-16487,16529-16530,16539,16551-16555,16558-16559,16562-16564
- Property svn:mergeinfo changed
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trunk/HeuristicLab.Algorithms.DataAnalysis
- Property svn:mergeinfo changed
/branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis (added) merged: 16452-16454,16462,16468,16470,16474,16479,16529,16539,16558-16559
- Property svn:mergeinfo changed
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trunk/HeuristicLab.Algorithms.DataAnalysis/3.4
- Property svn:mergeinfo changed
/branches/2520_PersistenceReintegration/HeuristicLab.Algorithms.DataAnalysis/3.4 (added) merged: 16452-16454,16462,16468,16470,16474,16479,16529,16539,16558-16559
- Property svn:mergeinfo changed
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trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/kMeans/KMeansClustering.cs
r15786 r16565 1 1 #region License Information 2 2 /* HeuristicLab 3 * Copyright (C) 2002-201 8Heuristic and Evolutionary Algorithms Laboratory (HEAL)3 * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL) 4 4 * 5 5 * This file is part of HeuristicLab. … … 29 29 using HeuristicLab.Optimization; 30 30 using HeuristicLab.Parameters; 31 using H euristicLab.Persistence.Default.CompositeSerializers.Storable;31 using HEAL.Attic; 32 32 using HeuristicLab.Problems.DataAnalysis; 33 33 … … 38 38 [Item("k-Means", "The k-Means clustering algorithm (wrapper for ALGLIB).")] 39 39 [Creatable(CreatableAttribute.Categories.DataAnalysis, Priority = 10)] 40 [Storable Class]40 [StorableType("84FAF4ED-0679-40BA-B3DD-83809095F8CF")] 41 41 public sealed class KMeansClustering : FixedDataAnalysisAlgorithm<IClusteringProblem> { 42 42 private const string KParameterName = "k"; … … 60 60 #endregion 61 61 [StorableConstructor] 62 private KMeansClustering( bool deserializing) : base(deserializing) { }62 private KMeansClustering(StorableConstructorFlag _) : base(_) { } 63 63 private KMeansClustering(KMeansClustering original, Cloner cloner) 64 64 : base(original, cloner) {
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