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C# IDataTable.Stdev方法代码示例

本文整理汇总了C#中IDataTable.Stdev方法的典型用法代码示例。如果您正苦于以下问题:C# IDataTable.Stdev方法的具体用法?C# IDataTable.Stdev怎么用?C# IDataTable.Stdev使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在IDataTable的用法示例。


在下文中一共展示了IDataTable.Stdev方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。

示例1: KMeans

 public static DataSet KMeans(object threadpool,IDataTable<DataRow> data, string[] properties, int maxCount, int minClusterCount, int maxClusterCount, double m, double s, Protocol.Structure.WaitObject wt,int initialmode, int methodmode,int maxthread)
 {
     minClusterCount = minClusterCount < 2 ? 2 : minClusterCount;
     maxClusterCount = maxClusterCount < 2 ? (int)Math.Pow(data.RowCount, 0.5) : maxClusterCount;
     maxCount = maxCount < 2 ? 20 : maxCount;
     maxthread = maxthread < 1 ? 1 : maxthread;
     int paracount = properties.Length;
     int i, j, k;
     double[] mean;
     double[] std;
     if (!double.IsNaN(m))
     {
         mean = new double[paracount];
         for (i = 0; i < paracount; i++)
             mean[i] = m;
     }
     else
         mean = data.Avg(properties);
     if (!double.IsNaN(s))
     {
         std = new double[paracount];
         for (i = 0; i < paracount; i++)
             std[i] = s;
     }
     else
         std = data.Stdev(properties, mean);
     var temp = new MPPO.DataMining.KMeans(threadpool,data, properties, maxCount, minClusterCount, maxClusterCount, mean, std, wt,initialmode,methodmode,maxthread);
     var clusterreport = temp.ParallelStart();
     var report = new DataSet();
     DataTable overview = new DataTable("OverView");
     overview.Columns.Add(new DataColumn("序号", typeof(int)));
     overview.Columns.Add(new DataColumn("分类数", typeof(int)));
     overview.Columns.Add(new DataColumn("AvgBWP", typeof(double)));
     overview.Columns.Add(new DataColumn("耗时", typeof(double)));
     overview.Columns.Add(new DataColumn("循环次数", typeof(int)));
     DataTable centers = new DataTable("Centers");
     int len = properties.Length;
     centers.Columns.Add(new DataColumn("序号", typeof(int)));
     centers.Columns.Add(new DataColumn("类标号", typeof(int)));
     for (i = 0; i < len; i++)
     {
         centers.Columns.Add(new DataColumn(properties[i], typeof(double)));
     }
     DataTable results = new DataTable("Results");
     results.Columns.Add(new DataColumn("序号", typeof(int)));
     results.Columns.Add(new DataColumn("行号", typeof(int)));
     results.Columns.Add(new DataColumn("类标号", typeof(int)));
     results.Columns.Add(new DataColumn("BWP", typeof(double)));
     results.Columns.Add(new DataColumn("B", typeof(double)));
     results.Columns.Add(new DataColumn("W", typeof(double)));
     report.Tables.Add(overview);
     report.Tables.Add(centers);
     report.Tables.Add(results);
     report.Relations.Add(new DataRelation("OverView_Centers", overview.Columns[0], centers.Columns[0]));
     int count = clusterreport.HisResult.Count;
     int datacount = data.RowCount;
     for (i = 0; i < count; i++)
     {
         var tempresult = clusterreport.HisResult[i];
         var tempreport = clusterreport.HisReport[i];
         overview.Rows.Add(i, tempresult.cCount, tempreport.AvgBWP, tempresult.CostTime,tempresult.LoopCount);
         for (j = 0; j < tempresult.cCount; j++)
         {
             var temprow = centers.NewRow();
             temprow[0] = i;
             temprow[1] = j;
             for (k = 0; k < len; k++)
             {
                 temprow[k+2] = tempresult.Centers[j,k];
             }
             centers.Rows.Add(temprow);
         }
         for (j = 0; j < datacount; j++)
         {
             results.Rows.Add(i, j, tempresult.ClassNumbers[j],tempreport.BWP[j], tempreport.B[j], tempreport.W[j]);
         }
     }
     return report;
 }
开发者ID:noelhx,项目名称:MultiParamProcessOptimization,代码行数:79,代码来源:DataMiningOperation.cs


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